Differentially expressed genes in large granular lymphocyte leukemia

ABSTRACT

The subject invention concerns gene sequences and the use thereof as markers for large granular lymphocyte (LGL) leukemia. The gene sequences of the invention are differentially expressed in LGL. Another aspect of the invention pertains to therapeutic compositions directed to gene expression and gene products of differentially expressed genes in LGL. The invention also concerns methods for screening and identifying compositions that may be of therapeutic benefit to patients having LGL leukemia and/or autoimmune disorders. In addition, because a large fraction of patients with T-LGL leukemia also have rheumatoid arthritis, these differentially expressed genes also represent novel targets for the diagnosis, prevention or treatment of rheumatoid arthritis and other autoimmune diseases.

CROSS-REFERENCE TO RELATED APPLICATION

[0001] This application claims the benefit of U.S. Provisional Application Ser. No. 60/319,910, filed Jan. 28, 2003, which is hereby incorporated by reference herein in its entirety.

[0002] This invention was made with government support under the Veterans Administration, grant number CA83947, and the National Cancer Institute, grant number CA90633. The government has certain rights in the invention.

BACKGROUND OF THE INVENTION

[0003] Large granular lymphocyte (LGL) leukemia is a human lymphoproliferative disorder often associated with autoimmune disease, such as rheumatoid arthritis. The etiology of LGL leukemia is not known. Large granular lymphocyte are a morphologically recognizable lymphoid subset comprising 10%-15% of peripheral blood mononuclear cells. LGL can be divided into two major lineages: CD3-negative cells (CD3−) and CD3-positive cells (CD3+). CD3− LGL are natural killer (NK) cells that mediate non-major histocompatibility complex (MHC)-restricted cytotoxicity and do not express the CD3/T-cell receptor (TCR) complex or rearrange TCR genes. CD3+ LGL are T-cells that do express CD3/TCR complex and rearrange TCR genes. A syndrome of increased numbers of circulating LGL associated with chronic neutropenia was first recognized as a distinct clinical entity in 1977. LGL proliferations are now known to be clonally derived from either of their counterparts (CD3− or CD3+ LGL). Although the etiology of LGL leukemia has not been fully elucidated, some evidence suggests that the initiation event may involve an HTLV-I like retrovirus.

[0004] Examination of the peripheral blood is critical for establishing the diagnosis of LGL leukemia. Characteristic features of the disease include larger than normal lymphocytes with abundant pale cytoplasm and prominent azurophilic granules. Patients with clonal CD3+ LGL (T-LGL) possess clonally derived lymphocytes with a CD3+, CD16+ and CD57+ phenotype. Autoimmune features are characteristic of this disease, and these patients resemble that of Felty's syndrome and present with the clinical triad of rheumatoid arthritis, neutropenia and splenomegaly. Morbidity and mortality most often results from infections acquired during severe neutropenia. The mechanism underlying the neutropenia is not well understood. Interestingly up to 40% of patients with T-cell LGL have rheumatoid arthritis. Although the cause of T-LGL leukemia and the events initiating the development of rheumatoid arthritis are now known, it has been hypothesized that there may be a common etiology underlying both diseases. Patients with NK-LGL possess clonally expanded LGL with a CD3−, CD4−, CD8−, CD16+ and CD56+ phenotype. In spite of aggressive treatment with multi-agent chemotherapy, 80% of these patients die within two months of diagnosis due to disseminated disease with multi-organ failure.

[0005] Cytotoxic T lymphocytes (CTL) are CD8⁺ T cells activated in response to antigen. Such CTL can be categorized into naive CD8⁺ cells, terminally differentiated effector cells which are likely to undergo apoptosis, and a minor proportion of long-term CD8⁺ memory cells. These memory cells proliferate in the presence of antigen (Butz et al., 1998). Cell-mediated killing by cytotoxic T-lymphocytes is an important event to protect the host against viral infection and tumor cell proliferation (Crabtree et al., 1994; Grakoui et al., 1999). Cytotoxic T cells are loaded with granules containing various effector molecules that are capable of killing target cells. Upon contact with target cells, the cytotoxic cells release cytotoxic molecules vectorially into the target cells and destroy them. Once the antigen is cleared from the system, the majority of the cytotoxic T cells (terminally differentiated cells) die primarily through Fas-mediated apoptosis in order to maintain homeostasis (Nagata et al., 1995; Callan et al., 2000; Zimmerman et al., 1996). In lymphoproliferative disorders such homeostasis is not maintained, resulting in the accumulation of a large number of lymphocytes. This may be due to defective apoptotic pathways in effector CD8⁺ cells or due to the constant presence of antigen leading to a continuous proliferation of cells.

[0006] The T cell form of large granular lymphocyte (LGL) leukemia is a lymphoproliferative disorder often associated with autoimmune disease (Loughran, Jr., 1993; Lamy et al., 1999). Several lines of research suggest that leukemic LGL are antigen activated CTL. Leukemic LGL display an activated cytotoxic T-cell phenotype (Loughran, Jr., 1993). Activation of leukemic LGL can be triggered through CD3 and/or CD16 pathways (Hoshino et al., 1991; Loughran et al., 1990). Leukemic LGL constitutively express perforin and Fas ligand which, besides NK cells, are found expressed only in T cells activated for killing (Oshimi et al., 1990; Lamy et al., 1998). A restricted T cells receptor repertoire has been found in some studies of LGL leukemia, suggesting antigen selection (Zambello et al., 1995; Kasten-Sportes et al., 1994).

BRIEF SUMMARY OF THE INVENTION

[0007] The subject invention concerns materials and methods for screening, diagnosis, and treatment of LGL leukemia and autoimmune disorders. A series of both known and novel genes sequences that are differentially expressed in LGL leukemia has been identified. One aspect of the invention provides for the use of these genes as molecular markers for LGL leukemia and also as novel therapeutic targets for the disease. Thus, another aspect of the invention pertains to therapeutic compositions directed to gene expression and gene products of differentially expressed genes in LGL. The invention also concerns methods for screening and identifying compositions that may be of therapeutic benefit to patients having LGL leukemia and/or autoimmune disorders. In addition, because a large fraction of patients with T-LGL leukemia also have rheumatoid arthritis, these differentially expressed genes also represent novel targets for the diagnosis, prevention or treatment of rheumatoid arthritis and other autoimmune diseases.

BRIEF DESCRIPTION OF THE DRAWINGS

[0008] The patent or application file contains at least one drawing executed in color. Copies of this patent or patent application publication with color drawings will be provided by the Patent Office upon request and payment of the necessary fee.

[0009]FIGS. 1A-1C show the cDNA microarray portions showing the expression of granzyme B/H, cathepsin W (Lymphopain) and perforin. cDNA microarray (UniGEM-V from Incyte Genomics) hybridized with the fluorescent probes prepared from MRNA isolated from PBMC of LGL leukemic patients (red) and from mRNA isolated from normal control (green). Images show the hybridization profile for an LGL patient and for the normal control. A color bar at the bottom shows the increased pattern of gene expression from left to right. FIG. 1A shows a portion of the microarray showing the element F12 for granzyme B/H (indicated by the arrow, the cDNA fragment arrayed on microarray can hybridizes with both Granzyme B and H). FIG. 1B shows a portion of the microarray showing the element D4 for Cathepsin W (indicated by the arrow). FIG. 1C shows a portion of the microarray showing the element D2 for perforin (indicated by the arrow).

[0010]FIGS. 2A-2D show the Northern blot analysis of granzyme B/H, cathepsin W, perforin, and calpain. Northern blot analysis was performed with 10 μg of total RNA isolated from PBMC of leukemic patients and normal controls. Clones containing cDNA fragments were excised from the plasmids and used as probes. After hybridization with the corresponding gene probes, the Northern blots were stripped and reprobed with the housekeeping gene GAPDH and the bands were normalized using the ImageQuant program. LGL stands for LGL leukemia patients. N stands for normal. NA stands for normal. PBMC were activated by IL-2 and PHA as described in the Materials and Methods section. FIG. 2A is the Northern blot showing the expression of granzyme B/H. FIG. 2B is the Northern blot showing the expression of cathepsin W. FIG. 2C is the Northern blot analysis showing the expression of perforin. FIG. 2D is the Northern blot showing the expression of calpain.

[0011]FIGS. 3A-3F show RNase protection assays. RNase protection assay (RPA) was performed as described in the Materials and Methods section. LGL stands for leukemic patients. N stands for normal. NA stands for normal activated. Bands showing the mRNA expression were quantitated and normalized with the housekeeping gene, L32, using ImageQuant program and relative expression was given as arbitrary units for each sample. FIG. 3A shows the hybridization profile for Granzyme B. FIG. 3B shows the hybridization profile for Granzyme H. A probe set, hAPO4, was obtained containing Granzyme B, H. These probes are very specific and distinguish between granzyme B and H. FIG. 3C shows the hybridization profile for Granzyme A. FIG. 3D shows the hybridization profile of Granzyme K. A probe set, hAPO4, was obtained containing Granzyme A, K. FIG. 3E shows the hybridization profile of perforin. FIG. 3F shows the hybridization profile of caspase-8. Probe sets, hAPO4 and hAPO3c, were obtained containing perforin and caspase-8.

[0012]FIG. 4 shows the expression of granzyme H (B) in leukemic LGL. Western blot analysis of proteins isolated from normal, activated PBMC and leukemic LGL. Antibodies raised against granzyme B was used in this blot. Since granzyme B cross-react with granzyme H, it is difficult to distinguish between granzyme B and H. N stands for normal PBMC. NA stands for normal activated PBMC. LGL stands for leukemic LGL.

[0013]FIGS. 5A-5C show protein array detection of cytokines from LGL leukemia and normal sera. Cytokine arrays were completed on 20 LGL leukemia and 6 normal sera pools as described in the Materials and Methods section. Depicted above is a membrane from a representative normal sera sample (FIG. 5A) and from LGL leukemia serum (FIG. 5B). Each sample was subjected to array and subsequent densitometry analyses minimum of two times. In this particular example, these densitometry analyses showed that ENA, GRO, IL-1α, IL-6, IL-8, MCP-2, MCP-3, MCSF, MIP-1β, MIP-1α, RANTES, EGF, ANG, OSM, and TRO were overexpressed in the LGL samples. FIG. 5C shows the layout of the cytokine antibodies deposited on the array. The names of the cytokines used in the array are: Epithelial cell-derived neutrophil attractant-78 (ENA)-78; granulocyte colony-stimulating factor (G-CSF); granulocyte monocyte-colony stimulating factor (GM-CSF); growth-regulated oncogene-alpha (GRO-α); interleukin- (IL-); interferon-gamma (INFγ); monocyte chemoattractant protein- (MCP-); macrophage colony-stimulating factor (MCSF), macrophage-derived chemokine (MDC); monokine induced by interferon-gamma (MIG); macrophage inflammatory protein- (MIP-); regulated on activation, normal T expressed and secreted (RANTES); stem cell factor (SCF); stromal cell-derived factor-1 (SDF-1) alpha; thymus-and activation-regulated chemokine (TARC); transforming growth factor- (TGF-); tumor necrosis factor (TNF); epidermal growth factor (EGF), insulin-like growth factor I (IGF-I); angiotensin (Ang); oncostatin M (OSM); thrombopoietin (Tpo); vascular endothelial growth factor (VEGF); platelet-derived growth factor (PDGF); Positive (Pos); Negative (Neg).

[0014]FIGS. 6A and 6B show overexpression of RANTES in LGL leukemia. RNase protection assays (RPA) were performed as described in the Materials and Methods section (FIG. 6A). LGL: LGL leukemia cells, N: normal cells, NA: activated normal cells. Bands showing the mRNA expression were quantified and normalized with the housekeeping gene L32. Relative expression was given as arbitrary units for each sample. 10 LGL leukemia samples and 5 normal samples were used for statistical analysis. T-tests were performed assuming unequal variances. The P value obtained for RANTES was p<0.01. FIG. 6B shows measurement of RANTES by ELISA. RANTES levels are displayed in ng/ml. Results represent the findings from two experiments. LGL: LGL leukemia sera, N: normal sera. *(p<0.001): Determined by confidence interval testing and Z test to be significantly greater than normal levels.

[0015]FIGS. 7A and 7B show elevated MIP-1β expression in LGL leukemia. RPA data demonstrating the overexpression of MIP-1β is shown in FIG. 7A. RPAs were performed as described in the Materials and Methods section. LGL: leukemic LGL, N: normal cells, NA: activated normal cells. Bands corresponding to MRNA expression were quantified and normalized with the housekeeping gene, L32, using an ImageQuant program. Relative expression was given as arbitrary units for each sample. 10 leukemic samples and 5 normal samples were used for statistical analysis. T-tests were performed assuming unequal variances. The P value for MIP-1β was p<0.001. Serum MIP-1β levels were determined by ELISA as shown in FIG. 7B. MIP-1β levels are depicted in pg/ml. Results represent the findings from two experiments. LGL: LGL leukemia patients sera, N: normal sera. *(p<0.001): determined by confidence interval testing and Z test to be significantly greater than normal levels.

[0016]FIGS. 8A-8C show increased expression of MIP-1α, IL-1β, and IL-1Ra transcripts in LGL leukemia. RPAs were performed as described in the Materials and Methods section. Bands corresponding to mRNA expression were quantified and normalized with the housekeeping gene, L32, using ImageQuant. Relative expression was given as arbitrary units for each sample. LGL: leukemia cell LGL, N: normal cells, NA: activated normal cells. FIG. 8A shows RPA for MIP-1α: 10 LGL leukemia samples and 5 normal samples were used for statistical analysis. T-tests were performed assuming unequal variances. The P value obtained for MIP-1α was p<0.02. FIG. 8B shows RPA for IL-1β: 12 LGL leukemia samples and 4 normal samples were tested for statistical analysis. T-test analyses were performed assuming unequal variances. The P value obtained for IL-1β was p<0.05. FIG. 8C shows RPA for IL-Ra: 12 LGL leukemia samples and 4 normal samples were processed for statistical analysis. T-tests were performed assuming unequal variances. The P value obtained for IL-1Ra mRNA was p<0.001.

[0017]FIGS. 9A-9C show elevated IL-10, IL-12p35, and IL-8 mRNA expression in LGL leukemia. RPAs were performed as described in the Materials and Methods section. Bands identified as IL-10 mRNA were quantified and normalized with the housekeeping gene, L32, using an ImageQuant program. LGL: leukemic LGL, N: normal PBMCs, NA: normal activated PBMCs. Relative expression was given as arbitrary units for each sample. FIG. 9A shows RPA for IL-10: 12 LGL leukemia samples and 4 normal samples were analyzed. T-tests were performed assuming unequal variances. The P value obtained for IL-10 was p<0.02. FIG. 9B shows RPA for IL-12p35: 12 LGL leukemia samples and 4 normal samples were analyzed. T-tests were performed assuming unequal variances. The P value obtained for IL-12p35 was p<0.02. FIG. 9C shows RPA for IL-8: 10 LGL samples and 5 normal samples were used for statistical analysis. T-tests were performed assuming unequal variances. The P value obtained for IL-8 was p<0.055.

[0018]FIGS. 10A and 10B show elevated levels of IL-18 and IFNγ mRNA expression in LGL leukemia. RPAs were performed as described in the Materials and Methods section. Bands corresponding to IFNγ mRNA were quantified and normalized with the housekeeping gene, L32, using ImageQuant. Relative expression was given as arbitrary units for each sample. LGL:

[0019] leukemic LGL, N: normal PBMCs, NA: normal activated PBMCs. FIG. 10A shows RPA for IFNγ: 12 LGL leukemia samples and 4 normal samples were analyzed. T-tests were performed assuming unequal variances. The P value obtained for IFNγ was p<0.02. FIG. 10B shows RPA for IL-18: 10 LGL leukemia samples and 5 normal samples were analyzed. The P value obtained for IL-18 was p<0.01.

DETAILED DISCLOSURE OF THE INVENTION

[0020] The subject invention concerns methods and materials for screening for, detecting, and diagnosing LGL leukemia and autoimmune disorders in a person or animal. Using a combination of microarray, Rnase protection assay and Northern Blot analysis, a series of both known and novel genes that are differentially expressed in LGL were identified. A list of genes that are differentially expressed in LGL leukemia are shown in Tables 1, 2, and 3. Table 1 identifies differentially expressed genes in LGL1 and LGL2. This data is based on Incyte Genomics and Affymetrix Chip FL 6800. Table 2 identifies genes that are upregulated in LGL1, LGL2, and LGL3/RA. This data is based on Affymetrix U 95. Table 3 identifies genes that are downregulated in LGL leukemia patients when compared to normal. This data is based on Affymetrix U 95. These genes can be used as biological markers for LGL leukemia. Differentially expressed genes identified in the present invention can also be used as therapeutic targets for the treatment or prevention of LGL leukemia and also rheumatoid arthritis and other autoimmune diseases. Several cytokines that are constitutively produced in LGL were also identified using Rnase protection assays, cytokine protein array screening, and ELISAs.

[0021] One embodiment of a method of the invention comprises obtaining a biological sample from a person or animal, and screening for upregulated expression of a gene or genes whose expression is upregulated in LGL and/or screening for downregulated expression of a gene or genes whose expression is downregulated in LGL. Quantitative or qualitative expression can be determined using any suitable method known in the art including, but not limited to, reverse transcription-polymerase chain reaction (RT-PCR), cDNA or oligonucleotide microarray analysis, and Northern blot analysis. Methods for polymerase chain reaction (PCR) are known in the art and have been described in U.S. Pat. Nos. 4,683,195; 4,683,202; and 4,800,159.

[0022] In one embodiment of the methods, RNA from a patient's cells is screened for changes in RNA expression of targeted genes as compared to the levels of expression observed for RNA expression of the same genes from a normal or non-LGL patient or compared to a control RNA. In one embodiment, genes encoding proteases, cytokines, and/or other molecules identified herein as differentially expressed in LGL are screened for upregulation of expression, which is indicative of LGL leukemia and/or an autoimmune disorder. In another embodiment, genes encoding protease inhibitors and/or other molecules are screened for downregulation, which is indicative of LGL leukemia and/or an autoimmune disorder. In a further embodiment, genes encoding proteases, cytokines, and/or other molecules are screened for upregulation of expression and genes encoding protease inhibitors and/or other molecules are screened for downregulation of expression. Genes whose expression is upregulated in LGL and which are contemplated within the scope of the invention include, but are not limited to, protease encoding genes, for example, serine proteases (granzymes A, B, H, and K), cysteine proteases (cathepsin C and W), calpain small subunit and caspase-8, and cytokine encoding genes, for example, RANTES, MIP-1alpha, MIP-1beta, IL-1beta, IL-8, IL-1Ra, IFN-gamma, IL-18, IL-10, and IL-12p35. Genes whose expression is downregulated in LGL and which are contemplated within the scope of the invention include, but are not limited to, protease inhibitor encoding genes, for example, cystatin C and A, α-1 antitrypsin, and metalloproteinase inhibitors. Any embodiment of the invention can also optionally include screening for upregulation of genes encoding perforins, A 20, phosphatase in activated cells (PAC-1) (Kothapalli et al., 2003), NGK2 receptors, sphingosine-1-phosphate receptor (Kothapalli et al., 2002b), and other genes whose expression is upregulated in LGL as shown in Tables 1 and 2. Any embodiment of the invention can also optionally include screening for downregulation of other genes whose expression is downregulated in LGL as shown in Tables 1 and 3.

[0023] In a further embodiment of the subject methods, a biological sample from a person or animal is obtained, and screened for expression of, or increased level of expression of, a protein that is encoded by a gene whose expression is upregulated in LGL and/or screening for lack of expression, or decreased level of expression of, a protein that is encoded by a gene whose expression is downregulated in LGL. Quantitative or qualitative expression can be determined using any suitable method known in the art including, but not limited to ELISA assay, Western blot analysis, and protein array screening.

[0024] In one embodiment of the methods, protein from a patient's cells is screened for changes in levels of expression of protein of a targeted gene as compared to the levels of expression observed for protein of the same gene from a normal or non-LGL patient or compared to a control protein level. In one embodiment, proteases, cytokines, and/or other molecules identified herein as differentially expressed in LGL are screened for increased level of expression, which is indicative of LGL leukemia and/or an autoimmune disorder. In another embodiment, protease inhibitors and/or other molecules are screened for decreased level of expression, which is indicative of LGL leukemia and/or an autoimmune disorder. In a further embodiment, proteases, cytokines and/or other molecules are screened for increased level of expression and protease inhibitors and/or other molecules are screened for decreased level of expression. Proteins whose expression is increased in LGL and are contemplated within the scope of the invention include protease encoding genes, for example, serine proteases (granzymes A, B, H, and K), cysteine proteases (cathepsin C and W), calpain small subunit and caspase-8, and cytokine encoding genes, for example, RANTES, MIP-1alpha, MIP-1beta, IL-1 beta, IL-8, IL-1Ra, IFN-gamma, IL-18, IL-10, and IL-12 p35. Proteins whose expression is decreased in LGL and are contemplated within the scope of the invention include protease inhibitor encoding genes, for example, cystatin C and A, α-1 antitrypsin, and metalloproteinase inhibitors. Any embodiment of the invention can also optionally include screening for increased expression of perforins, A 20, phosphatase in activated cells (PAC-1), NGK2 receptors, and other proteins whose expression is increased in LGL as shown in Tables 1 and 2. Any embodiment of the invention can also optionally include screening for decreased expression of other proteins whose expression is decreased in LGL as shown in Tables 1 and 3.

[0025] One can compare expression results from a method of the present invention with a statistically significant expression value obtained from a reference group of normal patients and/or patients that have LGL leukemia in order to determine whether the test sample exhibits increased or decreased or unchanged levels of expression of a gene or gene product of the invention.

[0026] In one embodiment of the subject methods, the expression of at least five genes or gene products whose upregulation is associated with LGL is determined. In another embodiment, the expression of at least ten genes or gene products whose upregulation is associated with LGL is determined. In a further embodiment, the expression of at least 15 genes or gene products whose upregulation is associated with LGL is determined. In still a further embodiment, the expression of at least 20, at least 25, at least 30, at least 35, or at least 40 or more genes or gene products whose upregulation is associated with LGL is determined.

[0027] In one embodiment of the subject methods, the expression of at least five genes or gene products whose downregulation is associated with LGL is determined. In another embodiment, the expression of at least ten genes or gene products whose downregulation is associated with LGL is determined. In a further embodiment, the expression of at least 15 genes or gene products whose downregulation is associated with LGL is determined. In still a further embodiment, the expression of at least 20, at least 25, at least 30, at least 35, or at least 40 or more genes or gene products whose downregulation is associated with LGL is determined.

[0028] The biological sample used in the methods and materials of the invention can be from any suitable biological tissue or fluid, including but not limited to bone marrow, lymph node, spleen, peripheral blood, lymph fluid, serous fluid, urine, saliva, and the like.

[0029] The subject invention also concerns kits comprising materials and compositions for use in screening for, detecting and diagnosing LGL or autoimmune disorders. The materials provide for detecting or determining expression of genes, and/or proteins encoded thereby, whose expression is differentially upregulated or downregulated in LGL as compared to expression levels in normal cells. In one embodiment, the screening materials comprise an array having one or more target gene or polynucleotide sequence whose expression is upregulated or downregulated in LGL. Nucleic acid samples can be obtained from a person or animal and the level of expression in the person or animal of the targeted gene or polynucleotide sequence provided on the array can be determined following hybridization of the sample with the array. In one embodiment, the array comprises one or more of the following target gene or polynucleotide sequences: granzymes A, B, H, and K; cathepsin C and W; calpain small subunit; caspase-8; cystatin C and A; α-1 antitrypsin; metalloproteinase inhibitor-8; perforins; A 20; PAC-1; NGK2 receptors; RANTES; MIP-1alpha; MIP-1beta; IL-1 beta; IL-8; IL-1Ra; IFN-gamma; IL-18; IL-10; IL-12 p35.

[0030] In another embodiment, a kit of the invention comprises oligonucleotide probes and PCR primers having sequences complementary to a sequence of a gene or polynucleotide (sequences of which correspond to the sequences in the accession numbers and identification numbers provided herein) whose expression is differentially expressed in LGL. In another embodiment a kit of the invention provides for RT-PCR of nucleic acid samples for detecting expression levels of a gene or polynucleotide whose expression is differentially expressed in LGL.

[0031] In another embodiment, a kit of the invention comprises an antibody or antibodies that bind to gene products that are differentially expressed in LGL. The antibodies can be provided on an array.

[0032] The materials and compositions of a kit of the invention can be provided in one or more separate containers.

[0033] The subject invention concerns methods for treating LGL leukemia or an autoimmune disorder comprising administering an effective amount of a composition that inhibits the expression of a gene or polynucleotide, or that inhibits or blocks biological activity of a protein encoded by the gene or polynucleotide, that is upregulated in LGL. The subject invention also concerns methods for treating LGL leukemia or an autoimmune disorder comprising administering an effective amount of a composition that increases expression of a gene or polynucleotide, or that increases expression or level of a protein encoded by the gene or polynucleotide, that is downregulated in LGL.

[0034] Genes and polynucleotides whose expression is increased in LGL and can be the targets for inhibition in the subject methods include, but are not limited to, protease encoding genes, for example, serine proteases (granzymes A, B, H, and K), cysteine proteases (cathepsin C and W), calpain small subunit and caspase-8, and cytokine encoding genes, for example, RANTES, MIP-1alpha, MIP-1beta, IL-1 beta, IL-8, IL-1Ra, IFN-gamma, IL-18, IL-10, and IL-12 p35. Genes and polynucleotides whose expression is decreased in LGL and can be the targets for increased expression include, but are not limited to, protease inhibitor encoding genes, for example, cystatin C and A, α-1 antitrypsin, and metalloproteinase inhibitors. Any embodiment of the methods of the invention can also optionally include inhibiting expression of genes or polynucleotides that encode perforins, A 20, phosphatase in activated cells (PAC-1), NGK2 receptors, and other proteins whose expression is increased in LGL as shown in Tables 1 and 2, and/or increasing expression of other genes or polynucleotides whose expression is decreased in LGL as shown in Tables 1 and 3. One embodiment of the subject method comprises upregulating or increasing expression of genes encoding protease inhibitors or contacting an LGL with a protease inhibitor whose expression is downregulated in LGL.

[0035] Means for inhibiting expression of a specific targeted gene are known in the art and include antisense nucleic acid inhibition and RNA interference (RNAi). Means for inhibiting or blocking biological activity of a protein are also known in the art and include, for example, antibodies that specifically bind to a protein and block biological activity of the protein or that bind to the cellular receptor for the protein and prevent or inhibit binding of the protein to the receptor. Peptides can also be used that bind to a protein or receptor and block biological activity.

[0036] Polynucleotides that provide for transcribed sequences that are at least partially complementary to the transcribed sequence of a gene whose expression is upregulated in LGL, such as a gene encoding a protease enzyme or a cytokine, are also contemplated within the scope of the present invention. Such polynucleotides are referred to herein as antisense polynucleotides and the sequences are antisense sequences. Transcription of the antisense sequence results in production of RNA which is at least partially complementary to RNA transcribed from a gene. In one embodiment, the polynucleotide comprises a nucleotide sequence that is antisense to a sequence of a gene having a nucleotide sequence disclosed in an accession number or identification number herein. The polynucleotide does not have to be identical in sequence to or the same length as the endogenous gene sequence. The polynucleotide used for antisense inhibition can be shorter in length than the full-length gene sequence. For example, a polynucleotide can be used that corresponds to the 5′-end or the 3′-end of the endogenous gene.

[0037] The polynucleotide sequence that is complementary to a sequence of an mRNA of a target gene whose expression is to be inhibited is selected to be of sufficient length to bind to the mRNA and inhibit expression of the enzyme. The sequence is preferably between 10 and 5000 nucleotides in length. More preferably, the sequence is between 20 and 2000 nucleotides in length. Most preferably, the sequence is between 50 and 1000 nucleotides in length. The sequence transcribed from the antisense polynucleotide may be complementary to any sequence of the RNA transcribed from the target gene, including the 5′ non-coding sequence, 3′ non-coding sequence, introns, the coding sequence, or any portion thereof.

[0038] RNA interference (RNAi) can also be used to suppress or inhibit expression of an endogenous gene (McManus and Sharp, 2002; published U.S. patent application No. US2003/0190654 A1; published international application No. PCT/GB00/04404). In one embodiment of RNAi, short interfering double-stranded RNAs (siRNA) of about 20-25 nucleotides, and more typically of 21-23 nucleotides, in size and complementary to strands of the gene to be silenced are provided in a cell. For example, siRNAs that have 20-25 nucleotide, or 21-23 nucleotide, strands complementary to a nucleotide sequence of a gene whose expression that is upregulated in LGL are contemplated within the scope of the present invention. A vector that has a nucleotide sequence that when transcribed in a cell produces one or more separate siRNA strands that can then form the duplex form of the siRNA can be introduced into a targeted LGL cell.

[0039] In another embodiment of RNAi, a short hairpin RNA molecule (shRNA) is expressed in a cell. The shRNA, consisting of short inverted repeats separated by a small loop sequence, are expressed from a suitable vector. One inverted repeat is complementary to the gene target. The shRNA is then processed into an siRNA which suppresses expression of the gene to be silenced. A vector that has a nucleotide sequence that when transcribed in the cell produces one or more separate shRNA strands that can then form a hairpin can be introduced into a targeted LGL cell.

[0040] In addition to humans, animals can also be treated using the subject methods. Animals contemplated with the scope of the invention include, but are not limited to, mammals such as primates (monkey, chimpanzee, etc.), dog, cat, cow, pig, or horse, or other animals that have LGL leukemia or an autoimmune disorder.

[0041] The subject invention also concerns compositions for treating or preventing large granular lymphocyte (LGL) leukemia or an autoimmune disorder in a person or animal, wherein the composition comprises a means for inhibiting expression of a gene or polynucleotide, or inhibiting or blocking biological activity of a protein encoded by a gene or polynucleotide, whose expression is upregulated in LGL. In one embodiment, the composition comprises an antisense polynucleotide whose transcribed sequence is at least partially complementary to the transcribed sequence of a gene whose expression is upregulated in LGL, wherein expression of said gene is inhibited or blocked by expression of said antisense polynucleotide. In a further embodiment, the gene is granzymes A, B, H, or K; cathepsin C or W; calpain small subunit; caspase-8; perforins; A 20; PAC-1; NGK2 receptors; RANTES; MIP-1alpha; MIP-1beta; IL-1 beta; IL-8; IL-1Ra; IFN-gamma; IL-18; IL-10; or IL-12 p35, or one of the genes listed in Tables 1 and 2 whose expression is upregulated in LGL.

[0042] In another embodiment, a composition of the invention comprises an RNA that interferes with expression of a gene or polynucleotide whose expression is upregulated in LGL. In one embodiment, an RNA interfering molecule of the invention inhibits expression of one of the following genes: granzymes A, B, H, or K; cathepsin C or W; calpain small subunit; caspase-8; perforins; A 20; PAC-1; NGK2 receptors; RANTES; MIP-1alpha; MIP-1beta; IL-1 beta; IL-8; IL-1Ra; IFN-gamma; IL-18; IL-10; or IL-12 p35, or one of the genes listed in Tables 1 and 2 whose expression is upregulated in LGL. The RNA interfering molecule can be provided in the form of an siRNA.

[0043] In still another embodiment, a composition of the invention can comprise an antibody, or an antigen binding fragment thereof, that specifically binds to a protein encoded by a gene or polynucleotide whose expression is upregulated in LGL and blocks biological activity of the protein; an antibody, or an antigen binding fragment thereof, that specifically binds to a receptor for the protein and prevents or inhibits binding of the protein to the receptor; a peptide that binds to the protein or thereceptor and block biological activity of the protein or the receptor; or a combination of any of antibody or peptide.

[0044] The subject invention also concerns compositions for treating or preventing large granular lymphocyte (LGL) leukemia or an autoimmune disorder in a person or animal, wherein the composition comprises a means for increasing expression or levels of a protein encoded by a gene or polynucleotide whose expression is downregulated in LGL, such as the protease inhibitors cystatin C and A, α-1 antitrypsin, and metalloproteinase inhibitors.

[0045] In one embodiment, methods and compositions for treatment of LGL and/or autoimmune disorders can include inhibitors of those proteases whose expression is upregulated in LGL as described herein.

[0046] Therapeutic compositions of the invention can be delivered to a cell by direct contact with the cell or via a carrier means. Carrier means for delivering compositions to cells are known in the art and include encapsulating the composition in a liposome moiety, and attaching a oligonucleotide, peptide, etc. to a protein or nucleic acid that is targeted for delivery to the target cell. Published U.S. patent application Nos. 2003/0032594 and 2002/0120100 disclose amino acid sequences that can be coupled to another composition and that allows the composition to be translocated across biological membranes. Published U.S. patent application No. 2002/0035243 also describes compositions for transporting biological moieties across cell membranes for intracellular delivery.

[0047] For the treatment of oncological disorders, the therapeutic compositions of this invention can be administered to a patient in need of treatment in combination with other antitumor substances, with radiation therapy, and the like. These other substances or radiation treatments may be given at the same or different times as the therapeutic compositions of this invention. For example, therapeutic compositions of the present invention can be used in combination with mitotic inhibitors such as taxol or vinblastine, alkylating agents such as cyclophosamide or ifosfamide, antimetabolites such as 5-fluorouracil or hydroxyurea, DNA intercalators such as adriamycin or bleomycin, topoisomerase inhibitors such as etoposide or camptothecin, antiangiogenic agents such as angiostatin, antiestrogens such as tamoxifen, and/or other anti-cancer drugs or antibodies.

[0048] Therapeutic application of the therapeutic compositions, and compositions containing them, can be accomplished by any suitable therapeutic method and technique presently or prospectively known to those skilled in the art. Therapeutic compositions can be administered by any suitable route known in the art including, for example, oral, nasal, rectal, and parenteral routes of administration. As used herein, the term parenteral includes subcutaneous, intravenous, intramuscular, and intrastemal administration, such as by injection. Administration of therapeutic compositions of the invention can be continuous or at distinct intervals as can be readily determined by a person skilled in the art.

[0049] Therapeutic compositions of the subject invention can be formulated according to known methods for preparing pharmaceutically useful compositions. Formulations are described in detail in a number of sources which are well known and readily available to those skilled in the art. For example, Remington's Pharmaceutical Science by E. W. Martin describes formulations which can be used in connection with the subject invention. In general, the compositions of the subject invention will be formulated such that an effective amount of the bioactive composition is combined with a suitable carrier in order to facilitate effective administration of the composition. The compositions used in the present methods can also be in a variety of forms. These include, for example, solid, semi-solid, and liquid dosage forms, such as tablets, pills, powders, liquid solutions or suspension, suppositories, injectable and infusible solutions, and sprays. The preferred form depends on the intended mode of administration and therapeutic application. The compositions also preferably include conventional pharmaceutically acceptable carriers and diluents which are known to those skilled in the art. Examples of carriers or diluents for use with therapeutic compositions include ethanol, dimethyl sulfoxide, glycerol, alumina, starch, and equivalent carriers and diluents. To provide for the administration of such dosages for the desired therapeutic treatment, pharmaceutical compositions of the invention will advantageously comprise between about 0.1% and 99%, and especially, 1 and 15% by weight of the total of one or more of a therapeutic composition of the invention based on the weight of the total composition including carrier or diluent.

[0050] Therapeutic compositions of the subject invention can also be administered utilizing liposome technology, slow release capsules, implantable pumps, and biodegradable containers. These delivery methods can, advantageously, provide a uniform dosage over an extended period of time.

[0051] The subject invention also concerns a packaged dosage formulation comprising in one or more containers at least one therapeutic compound of the subject invention formulated in a pharmaceutically acceptable dosage.

[0052] The subject invention also concerns methods for screening for compounds useful in treating or preventing LGL leukemia. In one embodiment, an LGL cell is contacted with a test compound and nucleic acid isolated from the cell and screened for: 1) inhibition of those gene sequences that are upregulated in LGL, or 2) increased expression of those gene sequences that are downregulated in LGL, or 3) both screening for inhibition of those gene sequences that are upregulated in LGL and screening for increased expression of those gene sequences that are downregulated in LGL are performed. Those gene sequences that are typically upregulated in LGL and that can be used in the subject methods include, but are not limited to, genes encoding granzymes A, B, H, and K; cathepsin C and W; calpain small subunit; caspase-8; perforins; A 20; PAC-1; NGK2 receptors; RANTES; MIP-1alpha; MIP-1beta; IL-1 beta; IL-8; IL-1Ra; IFN-gamma; IL-18; IL-10; IL-12 p35. Those gene sequences that are typically downregulated in LGL and that can be used in the subject method include, but are not limited to, genes encoding cystatin C and A; α-1 antitrypsin; metalloproteinase inhibitors. Alternatively, one can screen the cells contacted with the test compound for increased or decreased production or levels of proteins encoded by genes or polynucleotides that are differentially expressed in LGL, such as granzymes A, B, H, and K; cathepsin C and W; calpain small subunit; caspase-8; perforins; A 20; PAC-1; NGK2 receptors; RANTES; MIP-1alpha; MIP-1beta; IL-1 beta; IL-8; IL-1Ra; IFN-gamma; IL-18; IL-10; IL-12 p35; cystatin C and A; α-1 antitrypsin; and metalloproteinase inhibitors. Compounds identified as inhibiting expression of upregulated sequences and/or increasing expression of downregulated sequences are potential candidates for use in treating LGL.

[0053] The subject invention also concerns methods for screening for compounds useful in treating or preventing autoimmune disorders associated with LGL. In one embodiment, a cell is contacted with a test compound and nucleic acid isolated from the cell and screened for: 1) inhibition of those gene sequences that are upregulated in LGL, or 2) increased expression of those gene sequences that are downregulated in LGL, or 3) both screening for inhibition of those gene sequences that are upregulated in LGL and screening for increased expression of those gene sequences that are downregulated in LGL are performed. Those gene sequences that are typically upregulated in LGL and that can be used in the subject methods include, but are not limited to, genes encoding granzymes A, B, H, and K; cathepsin C and W; calpain small subunit; caspase-8; perforins; A 20; PAC-1; NGK2 receptors; RANTES; MIP-1alpha; MIP-1beta; IL-1 beta; IL-8; IL-1Ra; IFN-gamma; IL-18; IL-10; IL-12 p35. Those gene sequences that are typically downregulated in LGL and that can be used in the subject method include, but are not limited to, genes encoding cystatin C and A; α-1 antitrypsin; metalloproteinase inhibitor. Compounds identified as inhibiting expression of upregulated sequences and/or increasing expression of downregulated sequences are potential candidates for use in treating autoimmune disorders.

[0054] The subject invention also concerns variants of the genes and polynucleotides contemplated within the scope of the present invention. Variant sequences include those sequences wherein one or more nucleotides of the sequence have been substituted, deleted, and/or inserted. The nucleotides that can be substituted for natural nucleotides of DNA have a base moiety that can include, but is not limited to, inosine, 5-fluorouracil, 5-bromouracil, hypoxanthine, 1-methylguanine, 5-methylcytosine, and tritylated bases. The sugar moiety of the nucleotide in a sequence can also be modified and includes, but is not limited to, arabinose, xylulose, and hexose. In addition, the adenine, cytosine, guanine, thymine, and uracil bases of the nucleotides can be modified with acetyl, methyl, and/or thio groups. Sequences containing nucleotide substitutions, deletions, and/or insertions can be prepared and tested using standard techniques known in the art.

[0055] Genes and polynucleotides contemplated within the scope of the subject invention can also be defined in terms of more particular identity and/or similarity ranges with those sequences of the invention specifically exemplified herein. The sequence identity will typically be greater than 60%, preferably greater than 75%, more preferably greater than 80%, even more preferably greater than 90%, and can be greater than 95%. The identity and/or similarity of a sequence can be 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, or 99% as compared to a sequence exemplified herein. Unless otherwise specified, as used herein percent sequence identity and/or similarity of two sequences can be determined using the algorithm of Karlin and Altschul (1990), modified as in Karlin and Altschul (1993). Such an algorithm is incorporated into the NBLAST and XBLAST programs of Altschul et al. (1990). BLAST searches can be performed with the NBLAST program, score=100, wordlength=12, to obtain sequences with the desired percent sequence identity. To obtain gapped alignments for comparison purposes, Gapped BLAST can be used as described in Altschul et al. (1997). When utilizing BLAST and Gapped BLAST programs, the default parameters of the respective programs (NBLAST and XBLAST) can be used. See NCBI/NIH website.

[0056] The subject invention also contemplates those polynucleotide molecules having sequences which are sufficiently homologous with the polynucleotide sequences exemplified herein so as to permit hybridization with that sequence under standard stringent conditions and standard methods (Maniatis et al., 1982). As used herein, “stringent” conditions for hybridization refers to conditions wherein hybridization is typically carried out overnight at 20-25 C below the melting temperature (Tm) of the DNA hybrid in 6×SSPE, 5× Denhardt's solution, 0.1% SDS, 0.1 mg/ml denatured DNA. The melting temperature, Tm, is described by the following formula (Beltz et al., 1983):

[0057] Tm=81.5 C+16.6 Log[Na+]+0.41(%G+C)−0.61(% formamide)−600/length of duplex in base pairs.

[0058] Washes are typically carried out as follows:

[0059] (1) Twice at room temperature for 15 minutes in 1×SSPE, 0.1% SDS (low stringency wash).

[0060] (2) Once at Tm-20 C for 15 minutes in 0.2×SSPE, 0.1% SDS (moderate stringency wash).

[0061] As used herein, the terms “nucleic acid” and “polynucleotide” refer to a deoxyribonucleotide, ribonucleotide, or a mixed deoxyribonucleotide and ribonucleotide polymer in either single-or double-stranded form, and unless otherwise limited, would encompass known analogs of natural nucleotides that can function in a similar manner as naturally-occurring nucleotides. The polynucleotide sequences include the DNA strand sequence that is transcribed into RNA and the strand sequence that is complementary to the DNA strand that is transcribed. The polynucleotide sequences also include both full-length sequences as well as shorter sequences derived from the full-length sequences. Allelic variations of the sequences also fall within the scope of the subject invention. The polynucleotide sequence includes both the sense and antisense strands either as individual strands or in the duplex.

[0062] Nucleotide and amino acid sequences of genes, and proteins encoded thereby, that are contemplated within the scope of the present invention include those sequences provided in publicly accessible sequence databases such as Genbank and which are identified herein (such as in Tables 1, 2, and 3) by accession number or identification number, including those incorporated by reference.

[0063] All patents, patent applications, provisional applications, and publications referred to or cited herein are incorporated by reference in their entirety, including all sequences (including those identified by database accession number), figures and tables, to the extent they are not inconsistent with the explicit teachings of this specification.

Materials and Methods

[0064] Isolation of PBMC and RNA.

[0065] PBMC were isolated from whole blood using Ficoll-Hypaque density gradient centrifugation. These cells were suspended in Trizol reagent (GIBCO-BRL, Rockville, Md.) and total RNA was isolated immediately according to the manufacturer's instructions. Poly A⁺ RNA was isolated from total RNA by using Oliogo-Tex mini mRNA kit (Qiagen, Valencia, Calif.) according to the manufacturer's recommendations. All patients selected had T cell form of LGL leukemia.

[0066] Activation of PBMC.

[0067] Normal PBMC were cultured in vitro and activated using PHA (Sigma Chemical Co., St. Louis, Mo.) (1 μg/ml, 2 days) and Interleukin-2 (IL-2) (100 U/ml, 10 days), then total RNA was isolated.

[0068] cDNA Microarray.

[0069] Microarray probing and analysis was done by Incyte Genomics. Briefly, one μg of Poly (A)⁺ RNA isolated from PBMC of an LGL leukemia patient and a healthy individual was reverse transcribed to generate Cy3 and Cy5 fluorescent labeled cDNA probes. cDNA probes were competitively hybridized to a human UniGEM-V cDNA microarray containing 7075 immobilized cDNA fragments (4107 for known genes and 2968 ESTs). Microarrays were scanned in both Cy3 and Cy5 channels with Axon GenePix (Foster City) with a 10 μm resolution. Incyte GEMtools software (Incyte Pharmaceuticals, Inc., Palo Alto, Calif.) was used for image analysis. The elements were determined by gridding and region detection algorithm. The area surrounding each element image was used to calculate a local background and was subtracted from the total element signal. Background subtracted element signals were used to calculate the Cy3:Cy5 ratio. The average of the resulting total Cy3 and Cy5 signal provided a ratio that was used to balance or normalize the signals. P1 and P2 signals were the intensity reading obtained by the scanner for Cy3 and Cy5 channels. The balanced differential expression was calculated using the ratio between the P1 signal (intensity reading for probe 1) and the balanced P2 signal (intensity reading for probe 2 adjusted using the balanced coefficient).

[0070] Microarray Analysis using Oligonucleotide Probe Arrays.

[0071] The HuGeneFL (contains 6800 genes) microarray chip obtained from Affymetrix (Santa Clara, Calif.) was used. Briefly total RNA isolated from normal PBMC of normal, normal sorted CD8⁺ T cells and PBMC from two different LGL leukemia patients (designated herein as LGL 1 and LGL 2, respectively) were DNase treated and purified with a Qiagen kit. Approximately 10 μg of purified RNA was used to prepare double stranded cDNA (superscript GIBCO/BRL) using a T7 (dT)24 primer containing a T7 RNA polymerase promoter binding site. Biotinylated complementary RNA was prepared from 10 μg of cDNA and then fragmented to approximately 50 to 100 nucleotides. In vitro transcribed transcripts were hybridized to the HuGeneFL microarray chip for 16 h at 45° C. with constant rotation at 60 rpm. Chips were washed and stained by using Affymetrix fluidics station. Fluorescence intensity was measured for each chip and normalized to the fluorescence intensity for the entire chip.

[0072] Verification of the Clones.

[0073] GEM cDNA clones (each clone was supplied as a bacterial stab) were purchased from Incyte Genomics and streaked on to LB/agar plates containing the appropriate antibiotic. Individual colonies were picked and cultured in LB medium. Plasmid DNA was isolated and sequenced in order to verify the sequence identity.

[0074] Northern Blot Analysis.

[0075] Northern Blotting was done as described in the standard protocols (Sambrook, 1989). Briefly 10 μg of total RNA of each sample was denatured at 65° C. in RNA loading buffer, electrophoresed in a 1% agarose gel containing 2.2 M formaldehyde, then blotted onto a Nytran membrane (Schleicher & Schuell, Inc., Keene, N.H.). The RNA was fixed to the membrane by UV cross-linking. cDNA probes were labeled with [³²p] and purified by Nick columns (Amersham Pharmacia Biotech AB, Piscataway, N.J.). Hybridization and washings of the blots were performed as described by Engler-Blum et al. (1993). The blots were exposed to X-ray films and after developing the film, the bands were quantitated by using the ImageQuant program and normalized with the housekeeping gene GAPDH.

[0076] RNase Protection Assay (RPA) for Proteases and Protease Inhibitors.

[0077] RPA was performed using the RNA isolated from leukemic LGL, normal PBMC and normal PBMC activated by IL-2 and PHA. Five μg of total RNA was hybridized to the in vitro transcribed hAPO4 and hAPO3c probe sets (PharMingen, SanDiego, Calif.), the RPA assay was performed according to the manufacture's protocol. After assay, the samples were resolved on a 5% polyacrylamide gel. The gel was dried and exposed to X-ray film. After developing the film, the bands were quantitated by using the ImageQuant program and normalized with the housekeeping gene, L32.

[0078] Western Immunoblotting.

[0079] Cells were lysed in a buffer containing 50 mM Tris-HCl (pH 7.6); 5 mM EDTA; 150 mM NaCl; 0.5% NP-40; 0.5% Triton X-100 containing 1 μg/ml leupeptin, aprotinin and antipain; 1 mM sodiumorthovanadate; and 0.5 mM PMSF (all reagents were obtained from Sigma Chemical Co. St. Louis, Mo.) 25 μg of total protein from each sample was subjected to 10% SDS-PAGE. Then the proteins were transferred to a membrane and Western blotting was performed by using the monoclonal antibody for granzyme B (2C5, Santa Cruz Biotechnology, Santa Cruz, Calif.) and the ECL technique as recommended by the manufacturer (Amersham Pharmacia Biotech, Piscataway, N.J.).

[0080] RNase Protection Assay (RPA) for Cytokines.

[0081] RPA was performed using RNA isolated from leukemic LGL, normal PBMCs and normal PBMCs activated by IL-2 and PHA. Five μg of total RNA was hybridized to in vitro transcribed cytokine multi-probe sets (RiboQuant, BD Biosciences, San Jose, Calif.) and the RPA assay was performed according to the manufacturer's protocol. The samples were resolved on a 5% polyacrylamide gel. The gel was dried and exposed to X-ray film. After developing the film, the bands were quantified by using the ImageQuant program (Molecular Dynamics. Sunnyvale, Calif.) and normalized against the housekeeping gene, L32.

[0082] Cytokine Protein Array Screening.

[0083] LGL leukemia sera were screened for relative cytokine levels by cytokine protein arrays, following the kit manufacturer's directions (RayBiotech, Inc., Norcross, Ga.). Twenty LGL leukemia sera and six sets of pooled normal sera (12 donors for test) were tested. Each protein array membrane contained a grid of capture antibodies specific for 43 different human cytokines. Briefly, membranes were blocked, and then incubated with 10 fold-diluted sera for 2 hours. After washing, the membrane-bound serum components were reacted with a biotin-conjugated anti-cytokine antibody cocktail. After the non-binding conjugates were removed, the membranes were incubated with HRP-conjugated strepavidin, and then washed a final time. HRP-biotin conjugated complexes indicating the presence of human cytokines was visualized by ECL reactions on film. A two-step process was used to determine relative expression. First, densitometry analysis was completed on individual membranes, which contained positive and negative controls. Then, the densitometry data for each LGL leukemia sample was compared to the corresponding data for normal sera and an expression ratio was derived. The significance of fold differences were determined by the use of confidence interval testing derived from the densitometry results of each experiment.

[0084] Cytokine ELISAs.

[0085] Cytokines were selected for quantification based on RPA and/or protein array results. In general, ELISAs were performed for all cytokines and chemokines with increased levels of mRNA expression, unless protein array blot identified no differential protein expression for a particular cytokine/chemokine. Interleukin-1β (IL-1 β) and interleukin-8 (IL-8) were analyzed with OptEIA sets (PharMingen, San Diego, Calif.), interleukin-1 receptor antagonist (IL-1Ra) and IL-18, were analyzed with Quantikine kits (R&D Systems, Minneapolis, Minn.) and all others were analyzed with kits or antibody pairs from Pierce Endogen. Additional testing for serum IL-1β was completed using the R&D Systems IL-1β Quantikine kit. For ELISAs, 27 LGL leukemia sera, 13 normal sera representing the age and gender distribution of LGL leukemia (purchased from Florida Blood Services, St. Petersburg, Fla.) plus pooled sera from an additional 12 normal donors (Sigma) were tested. All analyses were performed twice with the exception of IL-1β analyses, which were performed in quadruplicate. Manufacturer's instructions were followed for each cytokine tested.

[0086] Following are examples which illustrate procedures for practicing the invention. These examples should not be construed as limiting. All percentages are by weight and all solvent mixture proportions are by volume unless otherwise noted.

EXAMPLE 1 Screening for Differential Expression of Genes in LGL

[0087] Overexpression of a variety cytotoxic genes was observed in leukemic LGL utilizing cDNA microarray from Incyte Genomics (FIG. 1 and Table 4). To verify the identity of these overexpressed genes, clones containing cDNA fragments of the selected genes were obtained from Incyte Genomics and confirmed by sequencing. Northern blots were then performed to confirm these results in samples from other LGL leukemia patients. For this analysis, we used the cDNA fragments (for the majority of the genes mentioned in the tables) obtained from the clones as probes (Incyte Genomics). All leukemic LGL showed constitutive expression of granzyme B and H, and cathepsin W (FIGS. 2A and 2B), whereas as a majority of patients showed overexpression of perforin (FIG. 2C). A gene coding for calpain small polypeptide was also expressed in the majority of the leukemic LGL (FIG. 2C). In addition to these cytotoxic genes, other genes were identified which were differentially expressed when comparing a sample from an LGL leukemia patient to a sample from a normal individual. Approximately 80 genes appeared upregulated and 12 downregulated in the cDNA microarray.

[0088] An Affymetrix chip was also used to identify differentially expressed genes in leukemic LGL. In these experiments, the expression of different genes was compared with normal PBMC, purified normal CD8⁺ cells and leukemic LGL from two (2) patients. This analysis also showed the overexpression of genes coding for granzyme A, H, B, K and perforin. In addition, upregulation of cathepsin C (Table 5) was observed.

[0089] Protease inhibitors such as cystatin C, cystatin A, α-1 antitrypsin and metalloproteinase inhibitor were downregulated in leukemic LGL when compared to normal PBMC. In CD8⁺ cells, these inhibitors were drastically downregulated when compared to both normal PBMC and leukemic LGL (Table 6). Because of a high degree of sequence similarity, it was not possible to distinguish granzyme B from granzyme H in microarrays and in Northern blots. Therefore, an RPA was performed using specific probes for granzyme B and H. The majority of samples from the LGL leukemia patients constitutively overexpressed both granzyme B and H (FIGS. 3A and 3B). Granzyme B was also upregulated in activated PBMC, whereas such upregulation was not observed with granzyme H. Granzyme A and K were also overexpressed in the majority of the patient's samples (FIGS. 3C and 3D). RPA also confirmed the upregulation of perforin and caspase-8 in the majority of LGL patients (FIGS. 3E and 3F). Normal PBMC express low levels of caspase-8, but upon activation of PBMC with IL-2 and PHA, the message levels of caspase-8 were further reduced and in some cases hardly detectable. In Western Blot experiments, overexpression of granzymes in leukemic LGL (FIG. 4) was observed, although the antibody used in the experiment did not distinguish between granzyme B and granzyme H.

EXAMPLE 2 CC and CXC Chemokine Expression: LGL Leukemia Samples Constitutively Express High Levels of RANTES, MIP-1β and IL-8

[0090] Protein arrays for 20 LGL leukemia sera and 6 sets of pooled normal sera were completed in duplicate. The most commonly elevated cytokines belonged to the CC chemokine family including RANTES, MIP-1β and IL-8 (FIG. 5). Significant overexpression of RANTES (FIG. 6A), MIP-1β transcripts (FIG. 7A) and macrophage inflammatory protein-1α (MIP-1α) (FIG. 8A) in leukemic LGL samples was observed. Elevated levels of IL-8 mRNA were found in some samples from patients with LGL leukemia (FIG. 9C) and as a group achieved borderline significance (P<0.055). ELISA data further confirmed the elevated expression of RANTES, MIP-1β, and IL-8 proteins in LGL leukemia sera (FIGS. 6B and 7B and Table 7). While the mean RANTES levels for normal sera (N) as detected by the ELISA reagents was approximately 3 ng/ml, RANTES levels in patient sera (LGL) ranged from 14 ng/ml to 20 ng/ml with a mean level of 17 ng/ml. ELISA testing revealed that MIP-1β secretion was significantly elevated in 16 of the 27 LGL leukemia sera (FIG. 7B). Sera from LGL leukemia patients had significantly elevated IL-8 levels compared to normal sera due to the greatly increased amounts of IL-8 in 11 of the 27 sera tested (Table 7). In contrast to these findings, ELISA analysis for MIP-1α could not validate the RPA analysis showing increased levels of MIP-1α transcripts in each of 10 LGL leukemia patient samples. Of interest, densitometry analyses of the protein arrays had revealed that 6 of 20 LGL leukemia sera contained significantly elevated levels of MIP-1a. The ELISA results utilizing a larger number (27) of LGL leukemia samples showed that sera from 5 patients demonstrated significantly elevated amounts of this chemokine. Thus, the mean MIP-1 α levels were not increased in sera from LGL leukemia patients compared to normal control sera (Table 7).

EXAMPLE 3 Increased Levels of Other Cytokines in LGL Leukemia (IL-18, IL-Ra)

[0091] Levels of expression of a large number of cytokine gene transcripts were found not to be elevated in LGL leukemia samples by RPA include lymphotactin (Ltn), monocyte chemoattractant protein-1 (MCP-1), interleukin-1α (IL-1α), interleukin-4 (IL-4), interleukin-5 (IL-5), interleukin-6 (IL-6), interleukin-9 (IL-9), interleukin-14 (IL-14), interleukin-15 (IL-15) and tumor necrosis factor-α (TNF-α) (not shown). In contrast RPA results showed significantly increased levels of IL-1β, IL-1Ra, interleukin-10 (IL-10), interleukin-12 (IL-12), IL-18, interferon gamma (INF-γ) gene transcripts in these patient samples (FIGS. 8A-8C, FIGS. 9A-9C, and FIGS. 10A-10B). ELISA testing was then performed for each of these proteins, except for IL-10 and IL-12 as protein array testing did not detect increased levels of these proteins in LGL sera. Of note protein array testing showed overexpression of IL-1β in only 4 of 20 LGL leukemia samples. However, IL-1β ELISA testing was performed since a previous report utilizing both microarray and ELISA had suggested increased levels of this cytokine in a small group of patients with LGL leukemia. Although the IL-1β transcripts were elevated, the IL-1β protein levels in the LGL leukemia sera were not different than levels seen in normal sera.

[0092] Levels of IL-18, IL-1Ra, IFN-γ, and TNF-α were elevated in LGL leukemia patient samples to varying extents (Table 7) was demonstrated. Mean levels of IL-18 and IL-1Ra were significantly higher in LGL leukemia sera than normal sera. Although mean levels of INF-γ and TNF-α were not elevated, sera from 11 and 13 patients respectively did show increased levels of these cytokines.

EXAMPLE 4 Other Protein Array Results

[0093] Many other growth factors or chemokines/lymphokines, not tested by RPA, were not differentially expressed when comparing results of twenty LGL leukemia sera to six sets of pooled normal sera utilizing the protein array. Such proteins included epithelial cell-derived neutrophil attractant-78 (ENA-78), granulocyte colony-stimulating factor (G-CSF), granulocyte monocyte-colony stimulating factor (GM-CSF), growth-regulated oncogene (GRO), growth-regulated oncogene-alpha (GRO alpha), IL-2, interleukin-3 (IL-3), interleukin-7 (IL-7), interleukin-13 (IL-13), monocyte chemoattractant protein-2 (MCP-2), monocyte chemoattractant protein-3 (MCP-3), macrophage colony-stimulating factor (MCSF), macrophage-derived chemokine (MDC), monokine induced by interferon-gamma (MIG), stem cell factor-1 (SCF-1), stromal cell-derived factor-1 (SDF-1), thymus- and activation-regulated chemokine (TARC), tumor growth factor-beta (TGF-β) epidermal growth factor (EGF), insulin-like growth factor 1 (IGF-1) and thrombopoitin (TPO). There was a suggestion that there might be elevated levels of endothelial or blood vessel growth factors as evidenced by increased angiotensin (ANG), vascular endothelial growth factor (VEGF) and platelet-derived growth factor (PDGF) expression in at least in five of 20 LGL leukemia sera. Similar results were also found for leptin-I-309 and oncostatin M (OSM).

[0094] It should be understood that the examples and embodiments described herein are for illustrative purposes only and that various modifications or changes in light thereof will be suggested to persons skilled in the art and are to be included within the spirit and purview of this application. TABLE 1 Differentially expressed genes in LGL1 and LGL2. This data is based on Incyte Genomics and Affymetrix Chip FL 6800 Affymetrix GenBank ID If different Incyte Genomics Fold Change from Incyte Gene Name BDE (p1/p2) GenBankID (LGL1/LGL2) Genomics Upregulated Genes Proteolytic enzymes Granzyme H 6.3 (3332/533) M57888 (1.5/1.8) M37245 precursor NM033423 (21.8/10.8) M28879 BC027974 Lymphopain 5.4 (3578/658) AF013661 — (Cathepsin W) NM001335 BC035637 BC048255 Perforin 3.8 (1549/413) L40557 (103 − 44.7) M31951 BC063043 X13224 X12940 M28393 Matrix 3.2 (1178/370) J05556 (1.0/−1.1) metalloprotease 8 NM002424 (neutrophil collagenase) Calpain, small 2.0 (4089/2059) X04106 (1.1/1.3) polypeptide BC064998 BC023643 BC017308 NM001749 BC018931 BC000592 BC011903 BC007779 BC021933 BT009775 NM032330 BC006000 BC005397 AY052551 Granzyme A 1.9 (1944/1022) NM06144 — BC015739 Caspase 8 (From 1.4 (2035/1480) U97075 (1.2/−1.4) AF005775 RPA also) NM033357 NM033358 Inducible or regulated proteins Interferon regulated 5.0 (1128/226) U52682 (6/−1.5) factor 4 TNF-α induced 3.2 (1507/470) M59465 (−1.3/−3.8) protein A 20 Heat shock 70 let 2.8 (4090/1464) X87949 (5.3/14.5) M11717 protein 5 (Glucose regulated protein 78 kd) RANTES (RPA also) 2.7 (2490/909) M21121 (5.9/6) Human rap 2 mRNA 2.6 (899/327) X12534 — for ras related protein p53 inducible 2.2 (2040/916) L47738 (2.9/2.3) proteins Glucose regulated 2.2 (3661/1641) AL043206 — proteins 58 kd receptors RECEPTORS CD8 antigen, alpha 7.3 (4325/594) M12824 (−1.2/−1.1) M27161 polypeptide (p32) Killer cell lectin-like 5.5 (2115/383) AJ001684 receptor subfamily C, member 2 (NKG2- CII) CD8 antigen beta 9.0 (1953/401) NM004931 (7.2/5.2) X13444 polypeptide (p37) Musculin (activated 4.1 (466/113) AF087036 B-cell factor-1) Killer cell lectin-like 3.8 (1335/344) AJ001685 receptor subfamily C, member 3 (NKG2- CII) subfamily C, member 5.5 (2115/383) AJ001684 2 (NKG2-CII) CD8 antigen beta 4.9 (1953/401) X13444 (7.2/5.2) polypeptide (p37) Musculin (activated 4.1 (466/113) AF060154 B-cell factor-1) Killer cell lectin-like receptor Low affinity 3.9 (1335/344) J04162 (8.1/6.8) immunoglobulin Gamma FC receptor III-1 precursor Filamin I (actin- 3.8 (1085/287) X53416 (2.1/1.9) binding protein-280) Lectin-like Type II 3.8 (1300/344) AJ001685 integral Membrane protein (NKG2-E) Natural Killer cells 3.1 S69115 (9.3/9.1) group 7 (11251/3591) Protein tyrosine 2.1 (4614/2177) L05148 (2.9/2.6) phosphatase type J receptor Delta sleep inducing 2.3 (5424/2319) BE295817 peptide Immunoreceptor Lymphotoxin-Beta 2.3 (3587/1544) AI271415 receptor precursor MHC class II, DR 2.4 (2264/953) X00700 beta 5 receptor NKG2-D type II 2.1 (1019/494) X54870 (7.3/9.4) integral membrane protein Protein tyrosine 2.1 (1036/494) M93425 (1.6/1.0) phosphatase Non-receptor type 12 Leukemia virus 2.1 (713/340) L20859 (2.9/2.5) receptor (CGLVR1) Kinases and Phosphatases Dual specificity 4.2 (2484/585) L11329 (1.6/1.2) Phosphatase-1 (PAC- 1) Dual specificity 2.7 (857/320) U10886 (1.1/1.6) Phosphatase-5 Tyrosine protein 2.6 (713/272) U15932 (1.2/2.3) tyrosine phosphatase Protein Kinase C etc 2.2 (2780/1239) M55284 — Zeta Chain (TCR) 2.1 (4614/2177) L05148 (2.9/2.6) associated protein kinase (70 kd) Src Kinase- 2.1 (730/327) Y11215 (3.3/2.4) associated phosphoprotein of 55 kd Phosphatidyl inositol 2.1 (764/372) 638789 — (4,5,bisphosphatase5- phosphatase homolog Protein phosphatase 2.0 (1071/526) U37352 (6.8/5.8) 2. Regulated subunit B (B56) Protein Phosphatase 2.0 (1643/835) J04759 1, (catalytic subunit, alpha isoform) Transcription Factors Runt related 3.5 (2689/775) D43968 (3.8/3.5) transcription factors 3 Miscellaneous EST.1 17.7 (346/189) H06366 EST.2 11.8 (2571/218) AA482549 EST.3 3.0 (544/182) N47089 Solute carrier protein 4.6 (785/172) L14595 (1.4/1.6) Filamin A alpha 3.8 (1085/287) X53416 (2.1/1.9) Hemoglobin delta 3.1 (2084/667) V00505 Hemoglobin beta 3.0 (4319/1419) V00497 KIAA 0668 protein 2.6 (3476/1254) AB014568 MHC, Class II DR 2.4 (2264/953) X00700 beta 3 PLECKSTRIN 2.4 (2033/854) X07743 (2.0/2.4) Isocitrate 2.2 (2067/893) X69433 (2.2/2.7) dehydrogenase 2 (NADP+) Mitochondrial Putative translation 2.0 (4003/2046) L26247 (−1.3/−1.5) initiation factor Tubulin, Beta 2.0 (2640/1349) AW163523 polypeptide Ubiquitin B 1.9 (5668/3024) BE250544 Moesin 1.8 (5015/2750) Z98946 Nuclear factor of 1.8 (2586/1440) U85430 (1.8/2.9) activated T cells, cytoplasmic Ubiquitin C 1.7 (3568/2071) AA600188 GTP binding protein, 1.8 (2147/1195) U87964 (−1.3/−1.5) alpha 13 Calritleulin Precursor 2.2 (3101/1384) M84739 (2.0/2.2) KIAA0158 gene 3.9 (2953/753) 063878 complete CDs Hemoglobin alpha I 3.2 (1074/333) V00491 T cell receptor 3.1 (987/315) M30894 (5.0/11.3) gamma chain FYN Oncogene 3.x (3405/313) Z97989 related to SRC FGR, YES EB1 mRNA 2.4 (1075/442) U24166 (−1.8/−2) PLECKSTRIN 2.4 (2033/854) X07743 DNAJ protein 2.4 (237/1065) D85429 (1.4/−1.7) Homolog MHC Class II HLA- 2.4 (2264/953) D85429 DRW 10 beta Lymphotoxin-beta 2.3 (3587/1544) L04270 receptor precursor Leucine Zipper 2.3 (5424/2319) 50781 (1.4/−2.7) Protein Probable protein 2.2 (3661/1641) Z49835 (1.4/1.0) disulfide Isomerase ER-60 precursor Troponin T, Fast 2.2 (1628/743) M21984 skeletal muscle Isomerase beta Transforming growth 3.7 (764/204) L07594 (10.6/7.1) factor receptor III DEC1, complete cds 3.5 (1498/1429) AB004066 Granulocyte Colony- 3.1 S65115 (9.3/9.1) stimulating Factor (11251/3591) induced gene Integrin, beta 2 2.7 (3718/1377) M15395 Clone 23912 2.6 (3476/1341) AF038178 Putative tumor 2.5 (1145/453) AF061836 suppressor Protein (RDA32) Down regulated genes Homo sapiens Indian −18.6 L38517 (−1.6/−1.1) hedgehog protein (477/7779) (IHH) CD20 Receptor −16.2 X07203 (1.1/−1.9) (229/3703) Human germline IgD −11.0 K02882 (−9.5/−7.5) chain gene, C-region (210/2313) Human transporter −10.4 U49082 (−2/−1) Protein (g17) (300/3124) Ribosomal protein −6.2 (321/1853) X69654 (−3.1/1.1) S26 EST −3.4 (429/1371) R85437 CD 72 antigen −3.3 (353/1165) M54992 (1.3/1.7) EST −2.5 (629/1583) AA916867 Endothelial −2.5 (447/1033) M31210 (−2.6/−5.2) differentiation protein (Edg-1) Diacylglycerol −2.5 (883/2172) X62535 (−1.4/−2.3) kinase, alpha (80 kD) 60S Ribosomal −2.3 Z12962 (−1.2/−1.2) protein L41 (5372/2339) EST −2.3 (708/1616) AA134589

[0095] TABLE 2 Genes upregulated in LGL1, LGL2 and LGL3/RA (Affymetrix U 95) LGL1 LGL2 LGL3/RA CD8+ (Fold increase compared to Gene Name Accession No. Normal PBMC) perforin 32904_at 72.8 39.5 45.4 8.5 serine protease 40078_at 55.7 48.7 38.7 3.0 mast cell function-associated 34975_at 66.2 45.4 61.1 16.2 antigen homolog (MAFA) NK-receptor (NK-p46) 34039_at 53.6 45.2 50.6 7.8 gb = W28589 40913_at 47.7 41.2 44.2 23.9 suppressor related (DOC-1R) 35151_at 45.3 40.1 27.0 42.8 ribosomal protein S6 kinase 1 1127_at 42.4 40.0 50.6 2.2 (RPS6KA1) butyrophillin (BT3.3) 38759_at 37.8 33.3 52.9 17.8 CD94 33531_at 35.2 34.2 17.9 7.3 MEGF9 36488_at 34.1 44.8 33.4 10.3 chronic granulomatous 40159_r_at 33.7 83.5 63.5 8.8 disease protein gamma2-adaptin (G2AD) 38799_at 30.3 29.2 27.5 40.5 calcineurin A2 39780_at 29.0 17.4 15.2 19.0 beta adaptin 35181_at 26.4 21.1 11.5 26.7 G protein-coupled receptor 40646_at 27.4 40.3 25.1 5.1 V28 thrombin receptor 41700_at 22.5 8.3 14.2 4.8 GTPase-activating protein 36846_at 22.1 9.1 19.5 12.2 SH3 domain containing 34432_at 21.9 10.4 22.8 10.3 adaptor protein (SCAP AML1c 39421_at 21.5 17.2 31.7 10.6 KIAA0664 protein 34259_at 21.7 38.4 27.0 18.0 gb = AA978353 41126_at 21.4 8.8 13.9 1.4 Metk = megakaryocyte- 36264_at 20.7 17.1 13.1 1.4 associated tyrosine kinase vascular smoth muscle alpha- 32755_at 20.1 27.8 22.0 3.8 actin lysyl hydroxylase (PLOD) 36184_at 19.8 18.0 9.8 1.1 candidate tumor suppressor 40497_at 19.7 16.1 26.6 13.1 gene 21 protein isoform 1 beta2-syntrophin (SNT B2) 40589_at 19.2 22.3 22.1 13.1 hexokinase III (HK3) 38372_at 18.8 39.6 4.1 6.7 telomeric repeat DNA- 1329_s_at 17.3 12.9 14.3 13.8 binding protein (PIN2) cytotoxic T-lymphocyte- 32370_at 17.3 12.1 9.8 1.6 associated serine esterase 1 (CTLA1) T cell specific protein 1404_r_at 17 10.2 18.3 4.5 (RANTES) CMRF-35-H9 41059_at 16.8 21.0 15.6 5.7 human immune interferon 1021_at 16.7 21.7 18.8 −2.1 (IFN-gamma) placenta (Diff48) 32978_g_at 16.5 14.4 6.9 23.7 medium-chain acyl-CoA 37532_at 16.4 15.1 18.6 28.3 dehydrogenase (MCAD) mRNA for Y3K1 40104_at 16.3 12.5 13.2 19.1 m3A methyltransferase (MT- 32245_at 16.2 16.4 19.8 27.4 A70) CD3G gene, exon 1 39228_at 16.2 6 5.3 3.4 PUTATUVE novel protein 41249_at 15.6 27.6 27.5 8.2 similar to many (archee)bacterial, worm and yeasy hypothetical proteins gb = A1004207 36732_at 15.8 25.1 17.6 22.2 microsomal glutathlone S- 39018_at 15.6 21.8 16.9 28.4 transferase (3-MGST3) similar to moise 32033_at 15.6 14.4 13.5 25.3 Choline/Ethanotamine Kinase (O55229) 25S proteasome subunit 32211_at 15.3 15.2 11.7 12.7 p40.5 Fo-gamma RIII-1 31499_at 15 5.8 5.4 −4.1 gb = AF070644 38852_at 14.6 16.6 14.4 8.4 gb = U79260 37242_at 14.5 15.9 11.5 17.5 Ste = 20 related kinase SPAK 40986_at 14.5 10.9 18.2 8.2 guanine Nucleotide-Binding 1819_at 14.5 5.8 6.5 4.1 Protein Rap2 SCA1 mRNA for ataxin 38142_at 14.2 13.2 16.9 7.7 butyrophillin (BTF4) 38760_at 14.2 13.3 18.7 7.1 HBV associate factor (XAP4) 32202_at 14.0 16.2 10.9 12.5 leukocystatin 34955_at 13.9 8.2 12.1 2.6 vav oncogene 1919_at 13.9 15.6 19.2 3.5 beta-2-adrenergic receptor 610_at 13.9 9.1 15.9 3.6 DNA from chromosome 1751_g_at 13.9 17.2 10.9 23.2 19p13.2 coamide R31240, R30272 and R26549 comtaining the EKLF, GCDH, CRTC, and RAD23A genes DNA sequence from PAC 40479_at 13.4 11.0 16.4 13.5 56H14 on chromosome 6q21- 22. Contains FYN (P59- FYN, SYN, SLK) gene coding for two isoforms transcription factor LSF 40084_at 13.3 12.3 11.3 11.7 rap2 41318_g_at 13.2 3.3 5.9 2.8 activation (Act-2) 36674_at 12.8 7.1 12 −1.1 pM5 33414_at 12.8 10.2 8.8 8.2 CGAAT transcription 40488_at 12.8 18.3 18.7 14.6 binding factor subunit gamma CD4-related protein involved 36776_at 12.8 23.0 27.0 5.0 in lymphoma activation SYT Interacting protein SIP 41460_at 12.7 10.7 10.3 15.7 MHC class I 34934_at 12.6 13.9 18.2 21.2 DNA dependent ATPase and 818_s_at 12.6 7.4 13.3 10.0 helicase (ATRX) brutone tyrosine kinase 36833_at 12.6 6.8 4 3.9 (BTK), alpha-D- gelactosidase A (GLA), L44- like ribosomal protein (L44L) and FTP3 (FTP3) Natural killer cell BY55 33112_at 12.6 15.9 10 −2.2 leukocyte IgG receptor (Fc- 37200_at 12.5 9.8 9.7 −2 gamma-R) KIAA0080 gene 36144_at 12.4 14.3 11.8 3.0 tax1-binding protein 499_at 12.4 11.1 17.0 6.6 TXBP181 gb = A1652860 41590_at 12.3 6.3 9.7 11.3 C-terminal binding protein 2 40780_at 12.1 5.5 5.5 1.1 NuMA 33822_at 11.9 19.8 9.8 25.0 160043_at 11.9 13.1 3.1 4.2 lymphoma proprotein 34361_at 11.7 11.7 11.7 11.7 convertase (LPC) RGP3 37637_at 11.4 9.9 9.9 3 gb = W26655 39045_at 11.3 11.7 11.7 6.2 KIAA0064 gene 31802_at 11.3 3.8 3.8 17 KIAA0064 gene 37654_at 11.2 11.3 11.3 9.9 G9a 36200_at 11.1 11.0 11.0 6.7 Human transforming growth 1897_at 11.1 9 9 4.3 factor-beta type III receptor (TGF-beta) guanylate binding protein 35735_at 11.1 29.5 29.5 6 isoform 1 (GBP-2) KIAA0199 gene 37656_at 11.0 14.6 14.6 15.0 gb = AA194159 41282_a_at 10.9 10.7 10.7 17.7 carnitine palmitoyltransferase 35936_g_at 10.9 11.8 11.8 8.8 1 type II carnitine palmitoyltransferase 35228_at 10.8 14.3 14.3 7.9 I type I Daxx 41151_at 10.8 15.4 15.4 13.7 B-ATF 39942_at 10.7 10.4 10.4 2.4 AUH 37616_at 10.7 16.0 16.0 10.5 (TAF1170-alpha) 37271_at 10.7 8.6 8.6 11.1 serine protease-like protein 37137_at 10.6 6.2 6.2 1.2 T-cell receptor T1 rearranged 41468_at 10.6 19 25.1 9.7 gamma-chain mRNA V-J-C region PEST phosphatase 34914_at 10.6 8.1 8.3 8.2 interacting protein homolog (H-PIP) KIAA0808 protein 33316_at 10.3 4.8 5.6 1.5 Nuclear protein, NP220 32674_at 10.3 7.5 12.1 15.3 beta-galatoside alpha-2,6- 41352_at 10.2 8.9 6.1 13.8 slalyltransferase HREV107-like protein 35704_at 10 8.9 5.4 −1.6 adenylyl cyclease type IX 33800_at 9.9 8.4 8.1 4.3 guanine nucleotide exchange 38264_at 9.9 9.3 11.4 12.9 factor mss4 fibrinogen-like protein (pT49 39591_s_at 9.9 14 12.1 −3.1 protein) XAP-5 36599_s_at 9.8 9.5 12.2 10.1 DNA from chromosome 1750_at 9.7 10.4 12.0 14.8 19p13.2 cosmids R31240, R30272 and R23549 containing the EKLF, GCDH, CRTC, and RAD23A genes guanine nucleotide exchange 33280_at 9.6 6.9 6.2 4.7 factor DEAD-box protein p72 (P72) 41260_at 9.4 14.0 87.2 23.5 calcium/calmodulin- 32105_f_at 9.4 7.3 10.3 7.2 dependent protein kinase II IFN-gamma 40702_at 9.3 11.7 9.4 −2.8 IL-17 36229_at 9.3 19.1 4.6 25.5 KIAA0122 gene 40070_at 9.3 4.1 10.4 5 NKG2D gene, exons 2-5 36777_at 9.3 8.7 8 12.6 alanyl-tRNA synthetase 36185_at 9.2 12.1 15.8 25.5 gb = AL080203 40451_at 9.1 13.2 10.2 11.5 gb = AA524058 34359_at 9 6.1 4.6 7.6 P-glycoprotein (PGY1) 1576_g_at 9.0 8.6 18.1 14.9 bcl-xL 34742_at 8.9 6.6 3.4 7.3 putative dianoyl-CoA 32756_at 8.9 12 11.8 10.9 isomerase (ECH1) gene KIAA0245 gene 40123_at 8.9 5.4 4.8 4.3 gb = AF070533 41744_at 8.8 7.8 7.7 8.7 alpha-2,3-slayltransferase 40290_f_at 8.8 7.7 10.2 10.2 (SIAT4A) ADP-ribosylation factor 36193_at 8.8 9/1 9.1 11.7 gb = AI540958 34891_at 8.8 12.6 10.1 8.4 oligo A synthetase E 38388_at 8.8 7.8 16.8 1.2 gb = AA631972 39119_s_at 8.7 9.8 7.1 4.5 pyruvate dehydrogenase (EC 39160_at 8.7 4 6.2 6.2 1.2.4.1) beta subunit gb = A1432401 39593_at 8.7 19.2 20.2 −6.9 gb = U51712 39698_at 8.6 9.6 3.3 3.9 glucocarebrosidase (GCB) 32632_g_at 8.6 10.3 8.3 7.5 T cell-specific protein 1405_1_at 8.6 8.1 9.4 4.9 (RANTES) aminoacytase-1 (ACY1) 37713_at 8.6 9.0 5.6 9.7 multidrug resistance protein 5 1933_g_at 8.4 9.4 5.4 3.4 (MRP5) gb = AL050259 40521_at 8.2 7.3 10.7 7.5 carboxyl methyltransferase 37736_at 8.2 9.6 6.4 10.1 gb = AA176780 40485_at 8.2 15.9 10.2 21.7 KIAA0955 protein 41100_at 8.2 8.1 11.1 10.8 gb = AL079277 41710_at 8.1 7.7 3.1 −1.7 KIAA0129 gene 33253_at 8.1 11.1 7.4 10.6 gb = AA16987 39162_at 8.0 11.1 7.3 14.8 testle-specific cAMP- 36215_at 7.9 5.1 5.9 7.3 dependent protein kinase catalytic subunit (C-beta isoform) K1AA0898 protein 33107_at 7.8 4.5 7.9 6.1 tactile protein 34961_at 7.8 8.5 5.4 28.1 3-alkyladenine DNA 37768_at 7.8 6.3 8.7 9.8 glycosylase (HAAG) helicase-like protein (HLP) 37998_at 7.8 9.0 9.2 11.8 17-beta-hydroxysteroid 36626_at 7.8 8.8 38.2 7.9 dehyhydrogenase gb = AF035282 41679_at 7.7 6.7 6.8 3.8 beta2-chimaerin 33244_at 7.6 7.2 4.6 −1.5 Butyrophillin (BTF3) 38241_at 7.6 6.2 8.8 4.2 Protein kinase C-theta 38949_at 7.6 6.1 8.8 7.5 (PRKCT) homolog of yeast mutL 525_g_at 7.5 8.9 9.0 9.1 (hPMS1) gene heat shock protein (hsp 70) 1104_s_at 7.5 19.3 13.1 8.4 receptor protein 4-1BB 31540_at 7.5 7.4 6.7 −1.2 fibrinogen-like protein (pT49 39592_at 7.4 8.4 7.0 −1.6 protein) RLIP76 36626_at 7.4 8.2 8.6 11.6 copper chaperone for 38088_at 7.3 7.8 10.5 9.3 auperoxide dismutase (CCS) TAR RNA binding protein 2 35657_at 7.3 7.3 5.5 7.3 (TRBP2) N-myristoyltranferase 1 39000_at 7.3 10.0 10.0 13.8 gb = AA126515 41172_at 7.3 5.4 8.8 8.9 gb = W27519 32326_at 7.3 6 6.9 9.1 synaptogyrin 3 40314_at 7.2 7.4 9.7 3.4 gb = A1852521 39743_at 7.2 4.7 4.7 5.5 Human replication protein A 1382_at 7.2 4.0 4.8 6.9 puromycin sensitive 39431_at 7.2 5.2 15.4 9.9 aminopeptidase gb = A1014538 38623_at 7.2 7.9 7.2 9.9 gb = AF055004 34831_at 7.2 8.5 6.9 3.6 Endothelial Cell Growth 1665_s_at 7.2 28.7 32.9 −11.3 Factor 1 gb = AL040137 41807_at 7.2 7.3 8.7 4.1 gb = AF007155 40472_at 7.1 6.6 6.9 6.7 lymphoid phosphatase LyP1 38808_at 7.1 3.1 5.6 2.7 Hanukah factor serine 40757_at 7.1 6.1 4.6 1.3 protease (HuHF) TM7XN1 35789_at 7.1 5 5.4 1.1 gb = AB011133 33223_at 7 6.1 4.9 2 cyclin-dependent kinase 4 1942_s_at 7.0 7.5 5.4 10.2 (CDK4) WD repeat protein HAN11 38171_at 7.0 4.0 3.5 2.7 T cell-specific protein 1403_s_at 7 5.7 6.8 3.4 (RANTES) KIAA0067 gene 34158_at 7.0 7.0 11.8 10.4 gb = AI670100 34724_at 7.0 7.9 6.5 5.2 BRCA1, Rho7 and vat1 626_s_at 6.9 13.4 8.2 1.9 genes, complete cds, and 1p135 gene gb = H68340 41446_f_at 6.9 7.2 13 3.3 RasGAP-related protein 37278_at 6.9 4 8.1 2.7 (IQGAP2) RBP2-retinoblastoma binding 36999_at 6.9 8.5 13.3 15.9 protein 2 KIAA0102 gene 37359_at 6.8 5.8 3.7 4.8 gb = AL050060 35840_at 6.8 17 5.9 4.5 C1k2 646_s_at 6.8 9.5 11.5 13.8 gb = AL048308 32768_at 6.7 5.3 7.1 5.2 gb = AA877795 33854_at 6.7 7.3 9.2 5.7 KIAA1062 protein 38313_at 6.7 3.1 3.5 1.1 a-glucosidase 1 38464_at 6.7 6 6.9 9.9 retinoblastoma 40418_at 6.7 6.8 5.1 5.2 gb = AF026402 40485_at 6.7 8.2 8.9 8.3 metase (MET-1) 32264_at 6.7 4.4 3.1 1.2 axin (AXIN) 33319_at 6.6 6.3 4 4.2 adenylate kinase (AK1) 35997_at 6.6 4.8 10.9 5.7 cbl-b 514_at 6.6 5.4 11.4 13.6 T-cell differentiation antigen 40599_at 6.6 5.6 4.8 4.1 Leu-2/T8 gb = W26892 33850_at 6.5 7.8 6.5 8.9 mBA methyltransferase (MT- 32246_g_at 6.5 6.7 8.5 13 A70) 1,4-alpha-glucan branching 32643_at 6.5 6.1 7.1 9.3 enzyme (HGBE) DP prostanoid receptor 31782_at 6.4 6.7 3.6 4.3 (PTGDR) interleukin 2 receptor gamma 1506_at 6.4 4.2 4.1 4.1 chain translational inhibitor protein 32173_at 6.4 5.5 4.5 4.9 gb = AI800578 34728_g_at 6.4 7.7 9.2 8.1 tudor repear assciator with 40852_at 6.4 7.0 7.7 6.8 PCTAIRE 2 gb = AL080111 34752_at 6.3 3.9 7.9 7.4 granulocyte colony- 37121_at 6.3 4.9 4.7 1.1 stimulating factor induced gene carboxyl terminal LIM 38937_s_at 6.3 6.1 4.4 −1.6 domain protein (CLIM1) gb = AF091084 35329_at 6.3 9.1 6.9 11.4 gb = AL041683 32662_at 6.3 4.7 4.3 5.2 gb = AA160055 40937_at 6.3 4.8 5.0 12.5 NK receptor (NKp45), 34040_s_at 6.3 6.3 7.4 3.6 isoform d serine/threonine protein 965_at 6.3 6.9 6.1 8.7 kinase EMK small GTP-binding protein 40889_at 6.3 5.1 5.4 2.3 gb = AA576724 41648_at 6.3 5.8 6.4 5.6 RING zinc finger protein 35811_at 6.3 6 8.5 4.7 (RZF) KIAA0010 gene 32044_at 6.2 7.1 6.3 7.2 TBP-associated factor 142_at 6.2 5.7 5.8 6.8 (hTAFII130) gb = AW024285 41177_at 6.2 6.3 3.7 2.6 gb = D50920 34289_f_at 6.2 6.2 4.4 7.6 GARS-AIRS-GART 38384_at 6.2 7.3 8.6 7.5 SCA2 36998_s_at 6.2 6 7.4 9.5 sigma 3B 32030_at 6.1 4.6 6.7 1.5 KIAA0386 gene 37112_at 6.1 6.3 4.1 18.1 nucleolar protein hNop56 34882_at 6.1 5.5 4.2 11.4 RP105 40715_at 6.0 10.1 6.0 5.2 gb = W28167 34404_at 6.0 6.3 5.4 7.9 MAPidnase kinase 4 36910_at 6.0 4.4 7.4 7.5 (MKK4) e1F4GII 33907_at 5.9 5.9 7.5 2.6 WWp2-like mRNA 33629_at 5.9 6.1 5.3 2.9 G6PD gene for glucose-5- 38043_at 5.9 3.5 4.8 9.0 phosphate dehydrogenase LTG19 32400_at 5.9 6.2 6.3 5.4 KIAA0796 protein 38113_at 5.9 4.2 5.3 3.2 interleukin 2 receptor beta 1365_at 5.9 6 4.8 1.1 chain (p70-75) KIAA0060 gene 34332_at 5.8 7.8 7.9 14.5 low density lipoprotein 32855_at 5.8 10.1 5.2 28.0 receptor gene Huntington's Disease (HD) 37767_at 5.8 4.7 4.7 3.8 monocarboxylate transporter 35547_at 5.8 5.1 6 14.1 2 (hMCT2) DNA from chromosome 1753_a_at 5.8 3.1 8.3 4.6 19p13.2 cosmids R31240, R30272 and R28549 containign the ELKF, GCDH, CRTC, and RAD23A genes KIAA0053 gene 38149_at 5.8 5.2 9 5 Gb = AI143868 34816_at 5.8 4.6 5.1 7.7 serine phosphatase FCP1a 35979_at 5.8 6.2 5.4 5.2 (FCP1) similar to cytoplasmic dynain 31655_at 5.7 7.7 6.0 3.2 light chain 1 KIAA1064 protein 36880_at 5.7 5.2 3.1 5.9 transactivator protein 37535_at 5.7 5.8 8.6 10.2 (CREB) Human immune interferon 1611_s_at 5.7 5.3 4.5 −1 (IFN-gamma) gb = AF052135 39391_at 5.7 8 7.6 9.6 aclyphosphatase, erythrocyte 33334_at 5.6 4.9 5.5 7.5 (CT) isoenzyme hRIF beta subunit (p102 33252_at 5.6 6.0 4.2 5.2 protein) ABC transporter MOAT-C 41428_at 5.6 6.9 8.3 9.1 (MOAT-C) ras GTPase-activating-like 1825_at 5.6 6.2 6.1 4.2 protein (IQGAP1) protein tyrosine phosphatase 1496_at 5.6 3.8 5.2 3 (PTPase-alpha) retinoblastoma susceptibility 2044_s_at 5.6 4.4 5.6 2.3 KIAA0877 protein 39021_at 5.6 5.3 4.5 4.5 translocation T(4:11) of 1124_at 5.5 4 7.6 6.4 ALL-1 gene to chromosome 4 osteoclast stimulating factor 467_at 5.5 4.9 4.4 4.1 mRNA kinesin-like DNA binding 356_at 5.5 5.1 9.2 6.5 protein 1 kB kinase beta subunit 35960_at 5.5 4.1 5.4 9.3 gb = AW044624 41551_at 5.4 5 6.6 4.6 gb = AA127624 33865_at 5.4 3.8 4.6 6.5 RNA binding protein DEF-3 40869_at 5.4 6.0 6.8 6.7 Protein phosphatase 2A B 178_at 5.4 4.4 7.8 8.1 alpha1 regulatory subunit integrin beta-7 subunit 2019_s_at 5.4 5.9 3.8 5.3 cdc25+ homolog 1347_at 5.4 4.7 3.8 10.3 Ndr protein kinase 38217_at 5.3 4.3 7.7 7.2 KIAA0625 protein 40083_at 5.3 6.6 7.9 8 KIAA1012 protein 38002_at 5.3 6.5 8 8.3 protein phosphatase 2A 40788_at 5.3 4.2 7.2 6.3 Balpha1 regulatory subunit WD40 protein BING4 33250_at 5.3 4.0 3.4 5.5 serine kinase SRPK2 1213_at 5.3 3.3 7.7 2.2 interferon regulatory factor 3 371_at 5.3 4.3 5.7 5.9 nuclear localization signal 32745_at 5.2 4.9 4.4 4.4 containing protein deleted in Velo-Cardio-Facial syndrome (Nivcf) gb = D45288 35310_at 5.2 3.2 3.3 2.1 gb = AI695103 35993_s_at 5.2 7.4 6.3 8.6 gb = X95808 41046_s_at 5.2 5.7 8.3 11.3 endo/exonuclease Mre11 32870_g_at 5.2 4.3 6.9 6.3 (MRE11A) beige protein homolog (chs) 35695_at 5.2 5 7.6 2.9 gb = AL049703 32212_at 5.1 5.2 4.0 6.4 leuoocyte vacuolar protein 35779_at 5.1 8.4 6.3 6 sorting programmed cell death- 855_at 5.1 7.3 4.3 7.8 2/Rp8 homolog malate dehydrogenase 39001_at 5.0 4.5 4.6 5.2 precursor (MDH) mRNA, nuclear gene encoding mitochondrial protein gb = AL049955 34347_at 5 3.3 5.5 7 gb = U37012 33132_at 5 16.8 3.4 7.2 gb = D82351 31671_at 5 3.9 4.2 3.2 uracil-DNA glycosylase 37688_s_at 5.0 3.5 5.9 5.5 KIAA0011 gene 36932_at 5.0 4.5 5.8 7.8 YL-1 protein (nuclear protein 33873_at 5 4.2 6.7 7.1 with DNA-binding ability) tRNA synthetase-like protein 34291_at 5 7 6 8.2 protein kinase C-binding 842_at 5.0 4.9 3.8 4.6 protein RACK7 KIAA0312 gene 34372_at 5.0 3.7 6.7 4.7 SF2p33 36099_at 4.9 4.6 3.7 5.0 gb = AB014597 39380_at 4.9 3.5 3.7 4.3 gb = R59697 35140_at 4.9 4.1 4.6 6.4 gb = U36501 37354_at 4.9 5.2 3.4 5.4 ZBP-59 protein 41465_at 4.9 3.6 5.2 5.1 ribulose-5-phosphate- 37797_at 4.9 4.0 7.2 9.2 epimerase C2f 39397_at 4.9 5.1 4.9 6.6 GT335 41749_at 4.9 5 5.9 4.3 Human poly(ADP-ribose) 1287_at 4.9 6 4.4 7.5 synthetase KIAA0132 gene 35322_at 4.9 5.3 9.3 6.2 gb = AF052162 41176_at 4.8 4.4 3.4 1.7 class 1 histocompatibility 34427_at 4.8 3.1 4.0 4.0 antigen-like protein mRNA gb = AF060862 40352_at 4.8 3.9 3.3 2.6 G4 protein (G4 gene, located 41053_at 4.8 6.1 4.7 8.2 in the class III region of the major hostocompatibility complex putative mitochondrial outer 34345_at 4.8 6.4 4.4 7.2 membrane protein import receptor (hTOM) nitriliase (NIT1) 39735_at 4.8 3.8 7.5 7.1 gb = L13435 160024_at 4.8 5.7 3.1 6.7 gb = L13435 33126_at 4.8 4.1 6.5 5.8 Smg GDS-associated protein 40779_at 4.8 3.9 4.4 6.3 SMAP KIAA0854 protein 41503_at 4.7 3.4 4.3 4.2 gb = AA173896 34340_at 4.7 9.3 6.5 8 gb = AA975427 31738_at 4.7 4.1 4.1 4 gb = W27939 38658_s_at 4.7 3.6 3.9 4.3 Human translational 1154_at 4.7 5.3 4 2.9 initiation factor (e1F-2) NADP-dependent isocitrate 39023_at 4.7 8.9 12.6 5.8 dehydrogenase (IDH) hterochromatin protein p25 37304_at 4.7 4.6 5.7 5.7 mNA for small GTP-binding 37466_at 4.7 6.4 5.7 6.3 protein methyl-CpG-binding protein 34355_at 4.7 4.4 4.6 5.8 mRNA for imogen 40072_at 4.6 4.2 4.9 6.6 transcription factor NFATx4 40823_s_at 4.6 4.5 3.1 3.9 nexin 1 (SNX1) 36583_at 4.6 8.5 12.3 9.8 gb = U79282 32069_at 4.6 4.0 5.2 4.2 gb = A1760162 41058_g_at 4.6 7.3 6.0 8.6 gb = AA224832 39120_at 4.6 5.7 9.3 9.4 KIAA0648 protein 34353_at 4.6 3.1 5.1 6.4 gb = AB007889 37383_at 4.6 4 5.5 1.3 homolog of yeast mutL 41481_at 4.6 3.6 4.5 5.5 (hPM31) UDP-glucose dehydrogenase 35214_at 4.6 3.9 4 6.4 (UGDH) KIAA0560 protein 41712_at 4.5 4.2 5.3 6.8 gb = AL060390 31852_at 4.5 3.8 3.7 3.6 similar to Drosophilia ash2 35804_at 4.5 5.8 8.5 5.7 gb = A1928387 33225_at 4.5 4.5 4.8 5.4 SCM-1beta precursor 31498_g_at 4.5 25.9 8.2 5.7 putative glucosyltransferase 32051_at 4.5 4.6 3 5.7 retinoic acid receptor 33236_at 4.5 4.2 4.6 1.6 responder 3 (RARRES3) KIAA0350 gene 34661_at 4.5 5.4 3 5.1 CACCC box-binding protein 41466_s_at 4.5 3.1 4.3 3.9 mutator gene (hMSH2) 860_at 4.5 5.0 3.8 13.1 tyrosylprotein 35172_at 4.5 5 4.2 3 sulfotransferase-2 DNA polymerase gamma 1014_at 4.4 3.5 4.6 4 DORA protein 34946_at 4.4 14.8 13.2 −3.0 gb = A1246728 37046_at 4.4 4.3 3.8 5.9 galactokinase (GK2) 37825_at 4.4 3.7 4.7 3.4 gb = AW051579 33191_at 4.4 4.2 3.6 4.5 Heat shook protein 70 testis 40656_at 4.4 5.0 4.1 5.9 variant gb = AA142942 33399_at 4.4 5.3 4.3 4.6 gb = U26710 35832_at 4.4 3.1 5.0 7.4 stress-activated protein 33245_at 4.4 3.8 4.0 3.3 kinase 4 ST15 35234_at 4.3 3.3 3.9 6.2 villin-like protein 37123_at 4.3 3.4 4.1 3.6 gb = U79255 37677_at 4.3 3.2 4.7 2.5 gb = L13744 35975_at 4.3 3.4 5.9 8.3 gb = AL049701 34446_at 4.3 3.3 5.1 2 FIP2 alternatively translated 41743_1_at 4.3 4.3 4.9 4.3 NF-AT4c 40822_at 4.3 4.1 4.5 3.9 putative poly(ADP-ribosyl) 37303_at 4.3 4.4 4.9 4.6 transferase (PARPL) KIAA0373 gene 38135_at 4.3 3.8 5.4 5.8 gb = W26640 35357_at 4.3 4 3.4 9.3 SCM-1beta precursor 31495_at 4.2 31.5 8.8 8.1 gb = D87077 38892_at 4.2 3.9 5.1 4.1 mitochondrial RNA 40232_at 4.2 3.5 5.3 4.7 polymerase gb = AA780049 40615_at 4.2 4.1 5.4 3.2 gb = AA905543 38620_at 4.2 5.0 4.8 2.7 (AF1q) 36941_at 4.2 4.0 5.1 11.1 KIAA0018 gene 38658_at 4.2 5.9 3.1 4.7 platelet activating receptor 31919_at 4.2 3.4 13.9 9.9 homolog (H963) SET-binding protein (IEF SP 34990_at 4.2 4.3 6.2 1.3 3521) transformation sensitive 207_at 4.2 8.3 3.6 6.6 protein (IEF SSP 3521) protein-tyrosine phosphatase 1480_g_at 4.2 4.2 6.4 4.1 (GalT3 (beta3- 35944_at 4.1 3.9 5.4 3.5 Galactosyltransferase)) Arp2/3 protein complex 38392_at 4.1 3.8 3.7 3.9 subunit p16-Arc (Arc15) nuclear receptor co-repessor 39722_at 4.1 5.1 6.1 4.2 N-CoR gb = AA808981 38287_at 4.1 5.2 4.4 2.3 transcription factor ISGF-3 AFFX- 4.1 5.2 7.3 2.7 HUMISGF 3A/M9793 5_3_at Jak2 kinase 37468_at 4.1 6.1 5.5 3.5 transcription factor ISGF-3 AFFX- 4.1 3.9 6.9 1 HUMISGF 3A/M9793 5_MA_at 21-activated protein kinase 1558_g_at 4.1 6.9 6.1 −1.5 (Pak1) gb = D79985 33889_s_at 4.1 3.8 4.6 7.1 gb = AB002347 39797_at 4.1 4.5 7.1 8.1 gb = D79998 34858_at 4.1 3.8 4.7 8.8 short form transcription 41506_r_at 4.1 4.8 3.1 2.6 factor C-MAF (c-maf) gb = AW051579 33192_g_at 4.1 5.2 5.7 5.8 lycosylphosphatidyl inositol- 34498_at 4.1 3.7 11.2 1.6 anchored protein GPI-80 DNA helicase (RECQL) 34684_at 4.1 5.2 7 8.6 KIAA0838 protein 34719_at 4.1 4 6.2 7.4 SKAP55 38862_at 4.1 3.3 4.3 2.2 Sel-1 like mRNA 40689_at 4 3.4 3.6 3.4 c-myc binding protein 1904_at 4 5.3 3.4 4.1 T-cell receptor alpha chain C 432_s_at 4 5.1 3 4.8 region calcium activated neutral 33908_at 4 5.5 3.9 3.5 protease large subunit (muCANP, calpain, EC 3.4.22.17) uridine disphosphoglucose 37373_at 4 3.6 3.7 3.7 pyrophosphorylase SH2D1A 38147_at 4 3.4 4.4 3.9 gb = AL035295 37119_at 4.0 3.4 6.4 5.3 gb = AF070595 38170_at 4.0 3.0 4.2 6.5 gb = H05692 35283_at 3.9 4.0 5.4 5.4 gb = AI540318 41234_at 3.9 3.5 5.5 3.4 gb = X79882 38064_at 3.9 4.7 3.3 2.3 GAP binding protein p62dok 815_at 3.9 5.3 6.9 3.7 (DOK) OPA-containing protein 40998_at 3.9 4 4.1 5.4 myogenic determining factor 33482_at 3.9 4.0 4.2 4.9 3 (MYOD1) gb = AA293354 38981_at 3.9 6.2 3.7 5.7 gb = AF006083 35271_at 3.9 3.4 3.1 3.2 ICAM-2 38454_g_at 3.9 6.4 3 5.7 protein-tyrosine phosphatase 1459_at 3.9 3.2 5.9 3.7 T-lymphocyte specific 33238_at 3.9 3.6 3.7 4.7 protein tyrosine kinase p56lck (lck) abberant mRNA zinc finger protein 39261_at 3.9 4.0 6.7 7.4 KIAA0097 gene 37293_at 3.8 3.4 5.4 4.3 cytosalic acetoacatyl- 34790_at 3.8 3.1 3.2 6.8 coenyme A thiolase NF-AT4c 250_at 3.8 3 4 2.7 gb = X77744 32883_at 3.8 4 6.1 5.4 gb = Y08614 37729_at 3.8 3.9 4.5 3.8 transcription factor WSTF 32261_at 3.8 4.4 5 5.5 TATA-binding protein 41441_at 3.8 3.2 4.6 7.3 mRNA KIAA0543 protein 41077_at 3.8 4.6 5.5 12.7 lymphocyte-specific protein 2059_s_at 3.7 3.9 4.1 4.7 tyrosine kinase (lck) CHD5 protein 32777_at 3.7 3.3 6.7 5.4 KIAA0549 40084_at 3.7 4 3.3 4.9 leukemia associated gene 1 33791_at 3.7 5.4 3.1 3.9 DM33 37007_at 3.7 3.9 4.6 5.6 branched chain alpha- 32828_at 3.7 3.2 7.6 2.9 ketoacid dehydrogenasekinase precursor gb = AL022398 40720_at 3.7 3.6 3.1 5.4 KIAA0748 protein 41585_at 3.7 3.5 5.5 3.6 gb = AL050018 46875_at 3.7 5.2 3.2 4.8 gb = D25538 40585_at 3.7 4.3 3.8 1.9 gb = X84908 37392_at 3.7 3.9 5.9 2.9 /gb = X70478 36877_at 3.6 3.8 4.8 4.4 Interleukin1-beta converting 39320_at 3.6 3.1 3.1 −1.8 enzyme isoform beta (IL1BCE) Rad50 1533_at 3.6 3.7 3.7 3.6 snRNA activating protein 35092_at 3.6 3.9 3.9 6.4 complex 190 kD subunit (SNAP190) gb = AI655015 39932_at 3.6 5 5 6.2 TGF-beta activated kinase 1a 36905_at 3.6 5.1 5.1 7 TAFII20 802_at 3.6 5.1 5.1 4.9 gb = AA203246 41821_at 3.6 4.8 4.8 4.2 KIAA0039 gene 37646_at 3.6 5.1 5.1 3.2 KIAA0494 41830_at 3.5 3.4 3.4 4.3 gb = AI547262 33875_at 3.5 3.3 3.3 2 gb = AC002310 40905_at 3.5 7.5 7.5 4.0 MHC class III HSP70-2 gene 31692_at 3.5 5.1 5.1 4.3 (HLA) T-cell surface antigen CD2 40738_at 3.5 4.2 4.2 3.5 (T11) tob family 39286_at 3.5 5.9 5.9 5.8 phosphorlbosypyro- 37338_at 3.5 4.3 4.3 6.9 phosphate synthetase- associated protein 39 P-selectin glycoprotein 37541_at 3.5 3.1 3.1 3.2 ligand (SELPLG) leupaxin 36062_at 3.5 4.7 4.7 5.5 KIAA0992 protein 41191_at 3.5 3.6 6.5 −1.5 gb = W22296 36957_at 3.4 3.1 3.4 3 proloporphyrinogen oxidase 37098_at 3.4 3.7 4.2 8.2 prolyl oligopeptidase 37950_at 3.4 3.6 4.7 2.4 Toll/interleukin-1 receptor- 34473_at 3.4 4.0 7.2 2.4 like protein 3 (TILS) class-1 MHC-restricted T cell 36389_at 3.3 11.8 9.4 12.5 associated molecule (CRTAM) meningioma-expressed 41615_at 3.3 4.3 5.4 6.6 antigen 6 (MEA6) HMED7 (MED7) 36648_at 3.3 3.1 5.1 6.9 acetyl-coenzyme A 34666_at 3.3 3.1 4.4 3.7 transporter KIAA0241 gene 39761_at 3.3 4.8 7.1 7.7 gb = U00948 32185_at 3.3 3.6 4.8 3.4 gb = X53390 38794_at 3.3 4 3.2 6.1 Kruppel-type zinc finger 35588_at 3.3 3.3 6.5 11.8 protein gb = AL050159 38717_at 3.3 5.5 4.2 −4.7 protein-tyrosine phosphatase 794_at 3.3 5.4 3.2 1.1 1C DAP-kinase mRNA 40049_at 3.3 5.8 9.4 −2.1 KIAA1105 protein 33457_at 3.3 4.8 5.2 5.4 son-a 39097_at 3.3 3.5 4 4.6 neutral amino acid 41178_at 3.3 4.2 3.4 2.8 transporter B mRNA candidate tumor suppressor 40498_at 3.2 3 3.6 2.3 gene 21 protein isoform 1 mRNA KIAA0453 protein 32743_at 3.2 3.0 4.5 6.6 gb = AL060133 41815_at 3.2 4.3 5.5 4.7 DMA, DMB, HLA-Z1, IPP2, 41184_at 3.2 3.5 3 2.2 LMP2, TAP1, LMP7, TAP2, DOB, DQB2 and RING8, 9, 13 and 14 genes 2,4-dienoyl-CoA reductase 38104_at 3.2 4.8 3.4 3.3 gene gb = AF055024 31875_at 3.2 3.3 4.4 4.9 KIAA0088 gene 37306_at 3.2 7.9 11.6 −1.7 mitochondrial 3-oxoacyl- 41530_at 3.2 4.2 3.2 2.5 CoA thiolase replication protein A 70 kDa 38481_at 3.2 3.2 3.1 4.6 Human Interferon-gamma 1456_s_at 3.1 3.6 6 3.1 induced protein (IFI 16) gene VHL binding protein-1 171_at 3.1 3.6 3 4.6 (VBP-1) butyrophilin (BTF5) 32629_f_at 3.1 3.6 5.3 3 gb = A1966201 35787_at 3.1 4.3 5.1 7.1 gb = AL050275 39115_at 3.1 3.7 4.4 8.1 gb = AI478147 40653_at 3.1 4.1 4.8 1.7 gb = AB028960 40829_at 3 6.7 6.7 7.5 gb = AL049435 38510_at 3.0 4.5 9.0 1.2 gb = AL080115 39442_at 3 3.7 6.3 4.6 Human phosphatase 2A 924_s_at 3 3.8 3.2 5 WNT7a 35783_at 3 4.5 4.4 10.0 Skeletal muscle abundant 32655_s_at 3.0 3.2 6.0 7.7 protein Gb = R59608 41302_at 3 3.4 3.9 3.5 Gb = AF070590 40760_at 3.0 3.7 4.1 2.1 Phosphatidylinositol-4- 35741_at 3 3.8 3.9 5.4 phosphate 5-kinase type II beta KIAA0541 protein 41430_at 3 3.4 4.6 3.7 FIP2 alternatively translated 41742_s 3 3 3.3 3.2

[0096] TABLE 3 Genes that are downregulated in LGL leukemia patients when compared to normal (Affymetrix U 95) Name of the Gene Accession No. LGL 1 LGL 2 LGL3/RA  1. KIAA0508 33581_at −2.8 −24.8 −23.7  2. retinal short-chain 40782_at −1.4 −17.1 −10 dehydrogenase/reductase retSDR1  3. KIAA0414 41695_at −2.7 −13.1 −8.6  4. hypothetical protein FLJ10097 40916_at −1.3 −10.6 −8  5. KIAA0552 38248_at 1.9 −9.7 −11.7  6. integrin alpha 6 subunit 39753_at −2.1 −9.4 −5.3  7. KIAA0172 37225_at −2.2 −9.1 −8.6  8. two-handed zinc finger protein ZEB 33440_at 1.5 −7.9 −8.0  9. sterol-C5-desaturase 33421_s_at −2.4 −7.6 −10.0 10. nuclear factor RIP140 40088_at −2.2 −6.9 −4.6 11. SCML2 protein 38518_at −2.1 −5.8 −5.3 12. receptor protein-tyrosine kinase (HEK8) 1606_at 3.5 −5.5 −4.8 13. hSGT1 33746_at −2.9 −5.5 −5.4 14. gb = AL080144 35672_at −2.4 −5 −7 15. Dr1-associated corepressor (DRP1) 39077_at −1 −4.9 −14.7 16. collagen binding protein 2 39166_s_at −2.5 −4.7 −7.4 17. CD44 isoform RC (CD44) 31472_at −2.3 −4.6 −4.6 18. USF2 38324_at 2.5 −4.5 −5.0 19. G protein-coupled receptor (EBI1) 1097_s_at 3 −4.1 −5.4 gene exon 3 20. serine/threonine kinase receptor-2-3 34055_at −2.2 −4.0 −3.9 (SKR2-3) 21. gb = AC002073 36231_at −2.2 −4 −12.8 22. nel-related protein 2 32598_at 4.1 −3.9 −5.3 23. transducin-like enhancer protein (TLE3) 38234_at −2.4 −3.9 −3.2 24. DNA binding protein (SATB1) 38899_at 1.5 −3.8 −4.7 25. KIAA0443 37446_at 1.7 −3.8 −4.8 26. HSPNP 430_at −1.2 −3.7 −3 27. GB = AF052160 34962_at −1.7 −3.7 −9.6 28. LIM protein SLIMMER 32542_at −1.1 −3.7 −4.8 29. calponin 40953_at 2.9 −3.7 −3.6

[0097] TABLE 4 Proteolytic Enzymes upregulated (data from the analysis of Incyte Genomics) Balanced Gene Name differential expression Granzyme H 6.3 Cathepsin W (Lymphopain) 5.4 Perforin 3.8 Matrix metalloproteinase 8 3.2 Granzyme B precusor 3.1 Calpain, small polypeptide 2.0 Granzyme A 2.0 Caspase-8 1.4

[0098] TABLE 5 Proteolytic enzymes that are upregulated in leukemic LGL (data from the analysis of Affymetrix) Fold change compared to normal PBMC Name of the gene CD8+ LGL1 LGL2 Granzyme H 2.2 28.6 14.7 Granzyme B 1.6 21.8 10.8 Perforin 7.6 10.3 44.7 Granzyme A 1.4 6.6 5.5 Cathepsin C — 5.6 5.0

[0099] TABLE 6 Protease inhibitors that are downregulated in leukemic LGL (data from the analysis of Affymetrix) Fold change compared to normal PBMC Name of the gene CD8+ LGL1 LGL2 Cystatin C −97.5 −2.9 −1.4 Cystatin A −20.5 −3.4 −1.5 α-1 Antitrypsin −24.7 −2.5 −1.7 Metalloproteinase Inhibitor −8.5 −4.8 −2.4

[0100] TABLE 7 Lymphokine/Chemokine profile of LGL leukemia sera* Average Level Elevated/ (pg per ml) Significance Lymphokine/Chemokine Total LGL Normal (P Value) RANTES 26/27 17100 2890 <0.001 MIP-1α  5/27 1151 1051 =0.24 MIP-1β 16/27 2174 358 <0.001 IL-8 11/27 1097 405 <0.01 IL-1β  5/27 596 784 =0.39 IL-1Ra  9/27 479 143 <0.02 IL-18 16/27 561 134 <0.005 IFNγ 11/27 797 724 =0.26 TNFα 13/27 309 170 =0.11

References

[0101] WO 01/36646

[0102] U.S. patent application Publication No. 2003/0190654

[0103] U.S. patent application Publication No. 2003/0032594

[0104] U.S. patent application Publication No. 2002/0120100

[0105] U.S. patent application Publication No. 2002/0035243

[0106] Altschul, S. F. et al. (1990) “Basic Local Alignment Search Tool” J. Mol. Biol. 215:402-410.

[0107] Altschul, S. F. et al. (1997) “Gapped BLAST and PSI-BLAST: A New Generation of Protein Database Search Programs” Nucl. Acids Res. 25:3389-3402.

[0108] Beltz, G. A., Jacobs, K. A., Eickbush, T. H., Cherbas, P. T., Kafatos, F. C. (1983) “Isolation of multigene families and determination of homologies by filter hybridization methods” Methods of Enzymology, R. Wu, L. Grossman and K. Moldave [eds.] Academic Press, N.Y. 100:266-285.

[0109] Butz, E. A., Bevan, M. J. (1998) “Massive expansion of antigen-specific CD8+ T cells during an acute virus infection” Immunity 8:167-175.

[0110] Callan, M. F. C., Fazou, C., Yang, H., Rostron, T., Poon, K., Hatton, C., McMichael, A. J. (2000) “CD8⁺ T-cell selection, function and death in the primary immune response in vivo” J Clin Invest 106:1251-1261.

[0111] Crabtree, G. R., Clipstone, N. A. (1994) “Signal transmission between the plasma membrane and nucleus of T lymphocytes” Ann Rev Biochem 63:1045-1083.

[0112] Engler-Blum, G., Meier, M., Frank, J., Muller, G. A. (1993) “Reduction of background in problems in non-radioactive Northern blot analysis enables higher sensitivity than ³²P-based hybridizations” Anal. Biochem 210:235-244.

[0113] Grakoui, A, Bromley, S. K., Sumen, C., Davis, M. M., Shaw, A. S., Allen, P. M., Dustin, M. L. (1999) “The immunological synapse: a molecular machine controlling T-cell activation” Science 285:221-227.

[0114] Hoshino, S., Oshimi, K., Teramura, M., Mizoguchi, H. (1991) “Activation via the CD3 and CD 16 pathway mediates interleukin-2-dependent autocrine proliferation of granular lymphocytes in patients with granular lymphocyte proliferative disorders” Blood 78:3232-3240.

[0115] Karlin S. and Altschul, S. F. (1990) “Methods for Assessing the Statistical Significance of Molecular Sequence Features by Using General Scoring Schemes” Proc. Natl. Acad. Sci. USA 87:2264-2268.

[0116] Karlin S. and Altschul, S. F. (1993) “Applications and Statistics for Multiple High-Scoring Segments in Molecular Sequences” Proc. Natl. Acad. Sci. USA 90:5873-5877.

[0117] Kasten-Sportes, C., Zaknoen, S., Steis, R. G., Chan, W. C., Winton, E. F., Waldmann, T. A. (1994) “T-cell receptor gene rearrangement in T-cell large granular leukocyte leukemia: preferential V alpha but diverse J alpha usage in one of five patients” Blood 83:767-775.

[0118] Kothapalli, R., Yoder, S. J., Mane, S., Loughran, T. P., Jr. (2002a) “Microarray results: how accurate are they?” BMC Bioinformatics 3:1-10.

[0119] Kothapalli, R., Kusmartseva, I., Loughran, M. P., Jr. (2002b) “Characterization of a human sphingosine-1-phosphate receptor gene (S1P₅) and its differential expression in LGL leukemia” Biochimica et Biophysics Acta 1579:117-123.

[0120] Kothapalli, R., Yoder, S. J., Kusmartseva, I. K., Loughran, T. P., Jr. (2003) “Characterization of a variant of PAC-1 in large granular lymphocyte leukemia” Protein Expression & Purification 32:52-60.

[0121] Lamy, T., Liu, J. H., Landowski, T. H., Dalton, W. S., Loughran, T. P., Jr. (1998) “Dysregulation of CD95/CD 95 ligand-apoptatic pathway in CD3+ large granular lymphocyte leukemia” Blood 92:4771-4777.

[0122] Lamy, T., Loughran, T. P., Jr. (1999) “Current concepts: large granular lymphocyte leukemia” Blood Rev 13:230-240.

[0123] Loughran, T. P., Jr., Aprile, J. A., Ruscetti, F. W. (1990) “Anti-CD3 monoclonal antibody-mediated cytotoxicity occurs through an interleukin-2-independent pathway in CD3+ large granular lymphocytes” Blood 75:935-940.

[0124] Loughran, T. P., Jr. (1993) “Clonal diseases of large granular lymphocytes” Blood 82: 1-14.

[0125] McManus, Michael T. and Phillip A. Sharp (2002) “Gene Silencing in Mammals by Small Interfering RNAs” Nature Reviews Genetics 3:737-747.

[0126] Maniatis, T., E. F. Fritsch, J. Sambrook (1982) “Nuclease Bal31” Molecular Cloning: A Laboratory Manual, Cold Spring Harbor Laboratory, Cold Spring Harbor, N.Y.

[0127] Oshimi, K., Shinkai, Y., Okumura, K., Oshimi, Y., Mizoguchi, H. (1990) “Perforin gene expression in granular lymphocyte proliferative disorders” Blood 75:704-708.

[0128] Nagata, S., Golstein, P. (1995) “The Fas death factor” Science 267:1449-1456.

[0129] Sambrook, J., Fritsch, E. F., Maniatis, T. (1989) “Plasmid Vectors” In: Molecular Cloning. A Laboratory Manual., 2nd Edition., Cold Spring Harbor Laboratory Press, Cold Spring Harbor, N.Y., pp. 1-82.

[0130] Zambello, R., Trentin, L., Facco, M., Cerutti, A., Sancetta, R., Milani, A., Raimondi, R., Tassinari, C., Agostini, C., Semenzato, G. (1995) “Analysis of the T cell receptor in the lymphoproliferative disease of granular lymphocytes: superantigen activation of clonal CD3+ granular lymphocytes” Cancer Res 55:6140-6145.

[0131] Zimmermann, C., Rawiei, M., Blaser, C., Kaufmann, M., Pircher, H. (1996) “Homeostatic regulation of CD8⁺ T cells after antigen challenge in the absence of Fas (CD95)” Eur. J Immunol. 26:2903-2910. 

We claim:
 1. A method for screening for, detecting or diagnosing large granular lymphocyte (LGL) leukemia or an autoimmune disorder in a person or animal, said method comprising obtaining a biological sample from said person or animal, and screening for upregulated expression of a gene or genes, or a gene product thereof, whose expression is upregulated in LGL and/or screening for downregulated expression of a gene or genes, or a gene product thereof, whose expression is downregulated in LGL.
 2. The method according to claim 1, wherein said gene or gene product whose expression is upregulated in LGL is selected from the group consisting of granzymes A, B, H, and K; cathepsin C and W; calpain small subunit; caspase-8; perforins; A 20; PAC-1; NGK2 receptors; RANTES; MIP-1alpha; MIP-1beta; IL-1 beta; IL-8; IL-IRa; IFN-gamma; IL-18; IL-10; and IL-12 p35.
 3. The method according to claim 1, wherein said gene or gene product whose expression is upregulated in LGL is selected from the group consisting of cystatin C and A; α-1 antitrypsin; and metalloproteinase inhibitor-8.
 4. The method according to claim 1, wherein the expression of at least five, at least 10, at least 15, at least 20, at least 25, at least 30, at least 35, or at least 40 genes or gene products whose upregulation is present in LGL is determined.
 5. The method according to claim 1, wherein the expression of at least five, at least 10, at least 15, at least 20, at least 25, at least 30, at least 35, or at least 40 genes or gene products whose downregulation is present in LGL is determined.
 6. The method according to claim 1, wherein said biological sample is selected from the group consisting of bone marrow, lymph node, spleen, peripheral blood, lymph fluid, serous fluid, urine, and saliva.
 7. A method for treating or preventing large granular lymphocyte (LGL) leukemia or an autoimmune disorder in a person or animal, said method comprising administering an effective amount of a composition that inhibits expression of a gene or genes, or that inhibits or blocks biological activity of a gene product, whose expression is upregulated in LGL and/or administering an effective amount of a composition that increases expression of a gene or genes, or that increases the amount of a gene product, whose expression is downregulated in LGL.
 8. The method according to claim 7, wherein said gene or gene product whose expression is to be inhibited is selected from the group consisting of granzymes A, B, H, and K; cathepsin C and W; calpain small subunit; caspase-8; perforins; A 20; PAC-1; NGK2 receptors; RANTES; MIP-1alpha; MIP-1beta; IL-1 beta; IL-8; IL-IRa; IFN-gamma; IL-18; IL-10; and IL-12p35.
 9. The method according to claim 7, wherein said gene or gene product whose expression is to be increased is selected from the group consisting of cystatin C and A; α-1 antitrypsin; and metalloproteinase inhibitor-8.
 10. A composition for treating or preventing large granular lymphocyte (LGL) leukemia or an autoimmune disorder in a person or animal, said composition comprising a means for inhibiting expression of a gene, or inhibiting or blocking biological activity of a protein encoded by a gene, whose expression is upregulated in LGL.
 11. The composition according to claim 10, wherein said composition comprises an antisense polynucleotide whose transcribed sequence is at least partially complementary to the transcribed sequence of a gene whose expression is upregulated in LGL, wherein expression of said gene is inhibited or blocked by expression of said antisense polynucleotide.
 12. The composition according to claim 11, wherein said gene is selected from the group consisting of granzymes A, B, H, and K; cathepsin C and W; calpain small subunit; caspase-8; perforins; A 20; PAC-1; NGK2 receptors; RANTES; MIP-1alpha; MIP-1beta; IL-1 beta; IL-8; IL-1Ra; IFN-gamma; IL-18; IL-10; and IL-12p35.
 13. The composition according to claim 10, wherein said composition comprises an RNA interfering molecule.
 14. The composition according to claim 13, wherein said RNA interfering molecule inhibits expression of a gene selected from the group consisting of granzymes A, B, H, and K; cathepsin C and W; calpain small subunit; caspase-8; perforins; A 20; PAC-1; NGK2 receptors; RANTES; MIP-1 alpha; MIP-1beta; IL-1 beta; IL-8; IL-1Ra; IFN-gamma; IL-18; IL-10; and IL-12p35.
 15. The composition according to claim 13, wherein said RNA interfering molecule is a short interfering double-stranded RNA.
 16. The composition according to claim 10, wherein said composition comprises: a) an antibody, or an antigen binding fragment thereof, that specifically binds to said protein and blocks biological activity of said protein; b) an antibody, or an antigen binding fragment thereof, that specifically binds to a receptor for said protein and prevents or inhibits binding of said protein to said receptor; c) a peptide that binds to said protein or said receptor and block biological activity of said protein or said receptor; or d) a combination of any of said antibody or peptide.
 17. A composition for treating or preventing large granular lymphocyte (LGL) leukemia or an autoimmune disorder in a person or animal, said composition comprising a means for increasing expression or levels of a protein encoded by a gene whose expression is downregulated in LGL.
 18. A mothod for screening for a compound useful in treating or preventing LGL or an autoimmune disorder in a person ot animal, wherein said method comprises contacting an LGL cell with a test compound, isolating nucleic acid from said cell, and screening for: 1) inhibition of thise gene sequences that are upregulated in LGL, or 2) increased expression of those gene sequences that are downregulated in LGL, or 3) both screening for inhibition of those gene sequences that are upregulated in LGL and screening for increased expression of those gene sequences that are downregulated in LGL are performed. 